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arXiv:2608.20340v1 [quant-ph] 20 Aug 2026

Group-theoretic treatment of strong light–matter coupling with an arbitrary number of excitations

Antti Peltola Affiliation: Department of Mechanical and Materials Engineering, University of Turku, FI-20014 Turku, Finland OrcID: 0009-0007-9667-3881    Olli Siltanen Email: olmisi@utu.fi Affiliation: Department of Mechanical and Materials Engineering, University of Turku, FI-20014 Turku, Finland OrcID: 0000-0002-7295-2065    Kimmo Luoma Email: ktluom@utu.fi Affiliation: Department of Physics and Astronomy, University of Turku, FI-20014 Turku, Finland    Konstantinos S. Daskalakis Affiliation: Department of Mechanical and Materials Engineering, University of Turku, FI-20014 Turku, Finland OrcID: 0000-0002-3996-5219
Abstract

Strong light–matter interactions in optical microcavities give rise to hybrid light–matter states known as polaritons. While actively used in modern technologies, theoretical descriptions of such systems are often restricted to the single-excitation case, limiting their ability to capture many-excitation physics and hindering further technological advancements. Here, by exploiting the combinatorial structure of quantum emitters, we investigate the Tavis-Cummings model with arbitrary number of excitations. We derive the structure and properties of its eigensystem and identify allowed radiative transitions in systems of realistic size scales. Our work reveals new behavior inaccessible to the few-excitation regime, while also providing a framework to reduce the computational complexity of similar systems with exponentially growing Hilbert spaces.

1 Introduction

Refer to caption
Figure 1: Schematic illustration of the system, model, and predictions. The Hilbert space corresponding to the physical system (two-level systems and cavity mode) grows exponentially with the excitation number XX. This growth, however, remains computationally manageable when exploiting the algebraic structure of the Hilbert space. The structure, visualized here by the Young tableaux, manifests itself as symmetries in the eigenenergies (dispersion curves) and observable transition energies (wavy arrows) of the system.

Strongly interacting dipolar quantum emitters and confined electromagnetic field modes form hybridized energy states known as polaritons, which have long stood as the center of attention of modern fundamental and material research [33, 5, 43, 54, 10, 6, 26, 40, 16]. Polariton studies shed light between the quantum and classical understanding of physics while simultaneously paving the way for novel applications, e.g., in organic optoelectronics and energy storage [41, 22, 29, 1]. Systems of NN emitters are often modeled by the Dicke model, Tavis-Cummings (TC) model, and their extensions [15, 49]. These have been experimentally verified at low excitation numbers [23], in which case they are also exactly solvable [45, 30]. However, as the number of operations grows exponentially with realistic numbers of emitters (NN) and excitations (XX), the system becomes practically unsolvable [12].

Symmetries have provided a strong tool to characterize light–matter interactions [8, 51, 45]. Some modern attempts to solve the many-excitation problem have used permutational symmetries of the system, removing the NN-dependence from the computational task [12, 11, 32]. Along with the well-known decomposition of the Hilbert space into excitation manifolds defined by fixed XX [12], diagonalizing the system is reduced to solving a set of matrices with dimensions 𝒪(X)\mathcal{O}(X), in cardinality of the same order. This approach has been used to probe the structure and dynamics of manifolds beyond the ubiquitous X=1X=1 restriction [44, 7, 11].

Recent applications of light–matter interactions have considered consumer applications and systems closer to macroscopic scale, motivating the study of these more realistic regimes [31, 50]. It is in this regime where theoretical understanding of model systems has not yet caught up with experimental studies [27, 17, 53]. Interestingly though, models restricting to X=1X=1 seem to work well for predicting energy transitions in polaritonic systems. Here we provide an interpretation of why this is by modeling the nonlinear regime of more excitations [35]. Energy spectra and optical dynamics gain anharmonic effects at these regimes.

In this paper, we extend the polariton theory to an arbitrary number of emitters and excitations by taking advantage of symmetry found in the system (see Fig. 1). The rotating-wave approximation (RWA) makes the total excitation number a conserved quantity, splitting the Hilbert space into finite-dimensional excitation manifolds [49]. Simultaneously, permutational action of the symmetric group divides the space into irreducible representations (irreps), removing direct dependence on the number of emitters from the computational load of solving the system [12, 18]. Under uniform coupling, this allows us to algorithmically solve the matrix spectrum and eigenstates of the system for arbitrary system parameters NN and XX.

We first establish the fundamental nature of this extension of the theory, setting the stage for further studies in directions of case-by-case motivations. We then apply the theory to find selection rules for the dynamical generators of a lossy cavity. These rules allow us to predict emissive behavior of the system, such as emission from the lowest polariton blue-shifting with increasing XX. We are also able to discuss why the well-established X=1X=1 theory works so well with experimental results.

2 The model

2.1 Structure theory

The TC Hamiltonian describing a system of NN two-level systems (TLSs) coupled uniformly to a single electromagnetic mode can be written under the RWA as HTC=H0+HIH_{\mathrm{TC}}=H_{0}+H_{I}, where

H0\displaystyle H_{0} =n=1NETLS|enen|+Eca^a^,\displaystyle=\sum_{n=1}^{N}E_{TLS}\lvert e_{n}\rangle\langle e_{n}\rvert+E_{c}\hat{a}^{\dagger}\hat{a}, (1)
HI\displaystyle H_{I} =g(S^a^+S^a^),\displaystyle=g\left(\hat{S}^{\dagger}\hat{a}+\hat{S}\hat{a}^{\dagger}\right), (2)

with S^:=n=1Nσ^(n)\hat{S}:=\sum_{n=1}^{N}\hat{\sigma}_{-}^{(n)} being the collective spin lowering operator for NN TLSs. Under the RWA, the Hamiltonian commutes with the total excitation number operator X^:=S^S^+a^a^\hat{X}:=\hat{S}^{\dagger}\hat{S}+\hat{a}^{\dagger}\hat{a}, meaning that the total excitation number XX is conserved. This allows one to separate the Hilbert space into an infinite sum of finite-dimensional excitation manifolds according to the eigenvalue XX, as

\displaystyle\mathcal{H} =(0)(1)(2)(Xmax1)(Xmax)(Xmax+1),\displaystyle=\mathcal{H}^{(0)}\oplus\mathcal{H}^{(1)}\oplus\mathcal{H}^{(2)}\oplus\cdots\oplus\mathcal{H}^{({X_{\,\mathrm{max}}-1})}\oplus\mathcal{H}^{({X_{\,\mathrm{max}}})}\oplus\mathcal{H}^{({X_{\,\mathrm{max}}+1})}\oplus\cdots, (3)

where in reality the occupied Hilbert space is limited by some XmaxX_{\,\mathrm{max}} as the energy of a physical system must be finite. This corresponds to a block-diagonal form of the Hamiltonian, known to have corresponding Hilbert space dimensions

HTC\displaystyle H_{\mathrm{TC}} =XH(X),\displaystyle=\bigoplus_{X}H^{(X)}, (4)
dim\displaystyle\mathrm{dim}\penalty\ \mathcal{H} =l=0Xmaxdim(l)=j=0Xmaxj=0i(Nj),\displaystyle=\sum_{l=0}^{X_{\text{max}}}\mathrm{dim}\penalty\ \mathcal{H}^{(l)}=\sum_{j=0}^{X_{\text{max}}}\sum_{j=0}^{i}\binom{N}{j}, (5)

up to the maximum excitation number considered [7].

The system can be given more structure by taking note of the symmetries of the Hamiltonian. The Hilbert space can be decomposed into photonic (Fock space) and material (TLS) parts as =F(2)N\mathcal{H}=F\otimes\left(\mathbb{C}^{2}\right)^{\otimes N}. This allows for a natural action of the Lie algebra 𝔰𝔲(2)\mathfrak{su}(2) on the individual TLS spaces, and of the symmetric group SNS_{N} on the tensor power of TLSs. One can then decompose the system into irreps of the symmetric group. With uniform coupling constant gg, the Hamiltonian is invariant under the action of SNS_{N} permuting the TLSs, making the closed dynamics respect this decomposition. Since the actions of the two groups commute, one can apply the well-known Schur-Weyl duality from representation theory, resulting in these irreps combining with the ones of SU(2)SU(2) under joint labels λ\lambda, which correspond to Young diagrams of SNS_{N} or equivalently weights (spins) SS of the Lie group SU(2)SU(2). The cooperation number or total spin SS is the usual eigenvalue of the Casimir operator S^2\hat{S}^{2} of 𝔰𝔲(2)\mathfrak{su}(2) [25]. The “2” of SU(2)SU(2) limits the number of rows of the considered Young diagrams (Appendix A) so that we can write λ=(Nm,m)\lambda=(N-m,m), where mm is the number of cells on the second row in English notation [37]. Because a Young diagram cannot have more cells on the second row than the first row, we find that 0mN/20\leq m\leq N/2 (for odd NN, 0mN/20\leq m\leq\left\lfloor N/2\right\rfloor). Each excitation manifold then further decomposes into irreps as

(X)S-Wm(πmWm)=m(m(X))d(N,m)mVm(X),\mathcal{H}^{(X)}\stackrel{{\scriptstyle\mathclap{\tiny\mbox{S-W}}}}{{\cong}}\bigoplus_{m}\left(\pi_{m}\otimes W_{m}\right)=\bigoplus_{m}\left(\mathcal{H}_{m}^{(X)}\right)^{\bigoplus d(N,m)}\equiv\bigoplus_{m}V_{m}^{(X)}, (6)

where πm\pi_{m} is an irrep of SNS_{N}, WmW_{m} is an irrep of SU(2)SU(2), m=N2Sm=\frac{N}{2}-S connects the Young diagrams and weights of SU(2)SU(2), and d(N,m)d(N,m) is the multiplicity of the irrep m(X)\mathcal{H}_{m}^{(X)}, given by the dimension of the corresponding irrep of the symmetric group πm\pi_{m} [37]. The block-diagonal TC Hamiltonian of each manifold can then be written as

H(X)\displaystyle H^{(X)} =mHVm(X)=m(1ld(N,m)Hm(X))\displaystyle=\bigoplus_{m}H_{V_{m}}^{(X)}=\bigoplus_{m}\left(1\kern-2.5pt\text{l}_{d(N,m)}\otimes H_{m}^{(X)}\right)
=(H0(X)H0(X)H1(X)H1(X)HX(X)HX(X)),\displaystyle=\begin{pmatrix}\text{\normalsize$H_{0}^{(X)}$}&&&&&&&&&&&\\ &\text{\normalsize$\ddots$}&&&&&&&&&&\\ &&\text{\normalsize$H_{0}^{(X)}$}&&&&&&&&&\\ &&&\text{\normalsize$H_{1}^{(X)}$}&&&&&&&&\\ &&&&\text{\normalsize$\ddots$}&&&&&&&\\ &&&&&\text{\normalsize$H_{1}^{(X)}$}&&&&&&\\ &&&&&&\penalty\ \penalty\ \penalty\ &&&&&\\ &&&&&&&\text{\normalsize$\ddots$}&&&&\\ &&&&&&&&\penalty\ \penalty\ \penalty\ &&&\\ &&&&&&&&&\text{\normalsize$H_{X}^{(X)}$}&&\\ &&&&&&&&&&\text{\normalsize$\ddots$}&\\ &&&&&&&&&&&\text{\normalsize$H_{X}^{(X)}$}\end{pmatrix}, (7)

where each submatrix Hm(X)H_{m}^{(X)} is repeated d(N,m)d(N,m) times. Due to the combinatorial nature of the symmetric group, the integer mm is further limited by the number of excited TLSs being permuted among ground-state TLSs. The maximum value of mm within an excitation manifold is therefore

mmax\displaystyle m_{\,\mathrm{max}} =min{N/2,X}.\displaystyle=\min\{N/2,X\}. (8)

2.2 Dimension formulas

The dimensions of the irreps m(X)\mathcal{H}_{m}^{(X)} follow the integer dimension of the weight spaces of SU(2)SU(2), given by XX and mm as

dimm(X)\displaystyle\dim{\mathcal{H}_{m}^{(X)}} =min{Xm+1,N2m+1},\displaystyle=\min\{X-m+1,N-2m+1\}, (9)

where N2m+1=2S+1N-2m+1=2S+1, using the composite spin quantum number SS. If m>Xm>X, dimm(X):=0\dim{\mathcal{H}_{m}^{(X)}}:=0. Since N2m+1=2S+1N-2m+1=2S+1 is the dimension of the SU(2)SU(2) irrep of weight SS, it must be the maximal dimension of each m(X)\mathcal{H}_{m}^{(X)}. The irreps are then repeated d(N,m)=dimπmd(N,m)=\dim{\pi_{m}} times. The dimension of the SNS_{N} irrep πm\pi_{m} is famously given by the Hook length formula, a combinatorial formula calculated using “hook lengths” of a Young diagram of shape λ\lambda (see Appendix A). For two rows, this formula can be written analytically as

d(N,m)\displaystyle d(N,m) =(Nm1)N2m+1m.\displaystyle=\binom{N}{m-1}\frac{N-2m+1}{m}. (10)

Combining the last two equations and writing out the binomial coefficient, one gets the dimension formula

dimVm(X)=min{Xm+1,N2m+1}N!(N2m+1)m!(Nm+1)!.\mathrm{dim}\penalty\ V_{m}^{(X)}=\min\,\left\{X-m+1,N-2m+1\right\}\frac{N!(N-2m+1)}{m!(N-m+1)!}. (11)

The excitation number XX limits the dimension from above to Xm+1X-m+1, resulting in the minimum between the two values. This dimensional structure is presented in Table 1 for N=9N=9. In addition to the above, we see the symmetric nature of the binomial coefficient in the total manifold dimension Eq. (5). This “locking” of the irrep dimensions will affect later results in Section 4.

Fig. 2 shows the dimensions given by Eq. (11) as functions of the symmetry index mm for N=1000N=1000 and X{150,300,400,500}X\in\{150,300,400,500\}. Panels (a–d) show the high-mm regions in linear scale, while the entire range of mm for X=500X=500 is considered in (e), with the dimension plotted in logarithmic scale. We see that the irrep maximal in mm holds the highest multiplicity up to XN/3X\approx N/3, after which the dimensions approach a Poissonian-like distribution near the high-mm side of the distribution. We also see that the low-mm irreps become comparably insignificant in multiplicity, and that the multiplicity of the m=Xm=X irrep approaches zero as XN2X\rightarrow\frac{N}{2}.

The structure can be easily understood by comparing to the usual X=1X=1 case. The representation m(1)\mathcal{H}_{m}^{(1)} is two-dimensional with multiplicity 11, and 1(1)\mathcal{H}_{1}^{(1)} is one-dimensional with multiplicity N1N-1. This is the well-known case of the upper polariton (UP), lower polariton (LP), and N1N-1 dark states [24]. The X=2X=2 case has also been previously studied [44, 11]. As we will show in the next section, one can identify the subspace V0(X)V_{0}^{(X)} as multipolaritons [7] and VX(X)V_{X}^{(X)} as dark states (X<N/2X<N/2). The representations in-between correspond to dark polaritons, recognized by their photonic content being between these two extremal regimes [12, 14]. Fig. 2 then shows that the dominant role of dark states is overtaken by dark polaritons and that the well-known problem of the large number of dark states becomes more subtle at higher excitation numbers. Thus, radiant processes from high-mm irreps might become statistically relevant [39, 28].

XX V0(X)V_{0}^{(X)} V1(X)V_{1}^{(X)} V2(X)V_{2}^{(X)} V3(X)V_{3}^{(X)} V4(X)V_{4}^{(X)} (X)\mathcal{H}^{(X)}
0 1 1
1 2 1(N1)1\cdot(N-1) 10
2 3 2(N1)2\cdot(N-1) 112N(N3)1\cdot\frac{1}{2}N(N-3) 46
3 4 3(N1)3\cdot(N-1) 212N(N3)2\cdot\frac{1}{2}N(N-3) 116N(N1)(N5)1\cdot\frac{1}{6}N(N-1)(N-5) 130
4 5 4(N1)4\cdot(N-1) 312N(N3)3\cdot\frac{1}{2}N(N-3) 216N(N1)(N5)2\cdot\frac{1}{6}N(N-1)(N-5) 1124N(N1)(N2)(N7)1\cdot\frac{1}{24}N(N-1)(N-2)(N-7) 256
5 6 5(N1)5\cdot(N-1) 412N(N3)4\cdot\frac{1}{2}N(N-3) 316N(N1)(N5)3\cdot\frac{1}{6}N(N-1)(N-5) 2124N(N1)(N2)(N7)2\cdot\frac{1}{24}N(N-1)(N-2)(N-7) 382
6 7 6(N1)6\cdot(N-1) 512N(N3)5\cdot\frac{1}{2}N(N-3) 416N(N1)(N5)4\cdot\frac{1}{6}N(N-1)(N-5) 2124N(N1)(N2)(N7)2\cdot\frac{1}{24}N(N-1)(N-2)(N-7) 466
7 8 7(N1)7\cdot(N-1) 612N(N3)6\cdot\frac{1}{2}N(N-3) 416N(N1)(N5)4\cdot\frac{1}{6}N(N-1)(N-5) 2124N(N1)(N2)(N7)2\cdot\frac{1}{24}N(N-1)(N-2)(N-7) 502
8 9 8(N1)8\cdot(N-1) 612N(N3)6\cdot\frac{1}{2}N(N-3) 416N(N1)(N5)4\cdot\frac{1}{6}N(N-1)(N-5) 2124N(N1)(N2)(N7)2\cdot\frac{1}{24}N(N-1)(N-2)(N-7) 511
9 10 8(N1)8\cdot(N-1) 612N(N3)6\cdot\frac{1}{2}N(N-3) 416N(N1)(N5)4\cdot\frac{1}{6}N(N-1)(N-5) 2124N(N1)(N2)(N7)2\cdot\frac{1}{24}N(N-1)(N-2)(N-7) 512
Table 1: Dimensions of the representation Vm(X)V_{m}^{(X)} and the entire manifold (X)=mVm(X)\mathcal{H}^{(X)}=\bigoplus_{m}V_{m}^{(X)}, determined by XX and mm by Eq. (11), for N=9N=9. This value is substituted only to the total manifold dimension to clarify its limiting effect on the dimensions of the irreps m(X)\mathcal{H}_{m}^{(X)}.
Refer to caption
Figure 2: Dimensions of the irreps Vm(X)V_{m}^{(X)} for N=1000N=1000 for X{150,300,400,500}X\in\{150,300,400,500\}. In (a–b) the dark states dominate in multiplicity, while dark polaritons become progressively comparable with growing XX. In (c) the dark polaritons overtake the dark states. In (d) the dark states disappear completely, and the dark polaritons end up in a smooth distribution peaked at high mm. Panel (e) shows the logarithms of the X=500X=500 dimensions, revealing the relative sizes invisible to the linear plots.

2.3 Example: The first two manifolds

Let us present the diagonalization of the first two excitation manifolds to set what we seek to generalize. The first manifold Hamiltonian can be decomposed according to Eq. (7) into

H(1)\displaystyle H^{(1)} =H0(1)(1lN1H1(1)),\displaystyle=H^{(1)}_{0}\oplus(1\kern-2.5pt\text{l}_{N-1}\otimes H^{(1)}_{1}), (12)
H0(1)\displaystyle H^{(1)}_{0} =(ETLSNgNgEc),H1(1)=ETLS,\displaystyle=\begin{pmatrix}E_{TLS}&\sqrt{N}g\\ \sqrt{N}g&E_{c}\end{pmatrix},\penalty\ \penalty\ H^{(1)}_{1}=E_{TLS}, (13)

leading to the UP, LP, and N1N-1 dark states

|P+\displaystyle\lvert P_{+}\rangle =α0(1)Nn=1N|en|0+α1(1)|𝒢|1,\displaystyle=\frac{\alpha^{(1)}_{0}}{\sqrt{N}}\sum_{n=1}^{N}\lvert e_{n}\rangle\lvert 0\rangle+\alpha^{(1)}_{1}\lvert\mathcal{G}\rangle\lvert 1\rangle, (14)
|P\displaystyle\lvert P_{-}\rangle =α1(1)Nn=1N|en|0α0(1)|𝒢|1,\displaystyle=\frac{\alpha^{(1)}_{1}}{\sqrt{N}}\sum_{n=1}^{N}\lvert e_{n}\rangle\lvert 0\rangle-\alpha^{(1)}_{0}\lvert\mathcal{G}\rangle\lvert 1\rangle, (15)
|Dk\displaystyle\lvert D_{k}\rangle =1Nn=1Nei2πnk/N|en|0,k=1,,N1,\displaystyle=\frac{1}{\sqrt{N}}\sum_{n=1}^{N}e^{i2\pi nk/N}\lvert e_{n}\rangle\lvert 0\rangle,\penalty\ k=1,...,N-1, (16)

with the (first-order) Hopfield coefficients and eigenvalues satisfying

|α0(1)|2\displaystyle|\alpha^{(1)}_{0}|^{2} =12(1+ETLSEc(ETLSEc)2+4gN2),\displaystyle=\frac{1}{2}\left(1+\frac{E_{TLS}-E_{c}}{\sqrt{(E_{TLS}-E_{c})^{2}+4g_{N}^{2}}}\right), (17)
|α1(1)|2\displaystyle|\alpha^{(1)}_{1}|^{2} =12(1ETLSEc(ETLSEc)2+4gN2),\displaystyle=\frac{1}{2}\left(1-\frac{E_{TLS}-E_{c}}{\sqrt{(E_{TLS}-E_{c})^{2}+4g_{N}^{2}}}\right), (18)
E±\displaystyle E_{\pm} =ETLS+Ec2±gN2+(ETLSEc)24.\displaystyle=\frac{E_{TLS}+E_{c}}{2}\pm\sqrt{g^{2}_{N}+\frac{(E_{TLS}-E_{c})^{2}}{4}}. (19)

The dark states naturally carry the eigenvalue ETLSE_{TLS} and we have denoted gN:=Ngg_{N}:=\sqrt{N}g. For the rest of this paper, we focus on the resonant case of ETLS=EcE_{TLS}=E_{c}. With this zero detuning, the expressions in Eqs. (17)–(19) simplify in a clear way. This shows us that the TLS-cavity energy difference acts as a small disturbance to a more balanced situation. We focus on the resonant case (unless otherwise specified), which allows for further analytic solvability, with this perturbative picture in mind.

Compared to the X=1X=1 manifold, a new irrep becomes available for X=2X=2, leading to the Hamiltonian decomposition [11]

H(2)=H0(2)(1lN1H1(2))(1l12N(N3)H2(2))=(2ETLS2N1g02N1g2ETLS2Ng02Ng2ETLS)m=01lN1(2ETLS2N1g2N1g2ETLS)m=12ETLS1l12N(N3)m=2,\begin{split}H^{(2)}=H_{0}^{(2)}\oplus&\left(1\kern-2.5pt\text{l}_{N-1}\otimes H_{1}^{(2)}\right)\oplus\left(1\kern-2.5pt\text{l}_{\frac{1}{2}N(N-3)}\otimes H_{2}^{(2)}\right)\\ =\underbrace{\begin{pmatrix}2E_{TLS}&\sqrt{2}\sqrt{N-1}g&0\\ \sqrt{2}\sqrt{N-1}g&2E_{TLS}&\sqrt{2}\sqrt{N}g\\ 0&\sqrt{2}\sqrt{N}g&2E_{TLS}\end{pmatrix}}_{m=0}&\oplus\penalty\ \underbrace{1\kern-2.5pt\text{l}_{N-1}\otimes\begin{pmatrix}2E_{TLS}&\sqrt{2}\sqrt{N-1}g\\ \sqrt{2}\sqrt{N-1}g&2E_{TLS}\end{pmatrix}}_{m=1}\oplus\underbrace{2E_{TLS}1\kern-2.5pt\text{l}_{\frac{1}{2}N(N-3)}}_{m=2},\end{split} (20)

with the values of mm corresponding to multipolaritons, dark polaritons, and dark states, respectively. These correspond to eigenstates of the form

|Ei,0(2,0)\displaystyle\lvert E^{(2,0)}_{i,0}\rangle =α0(2)2N(N1)m<n|emen|0+α1(2)1Nn|en|1+α2(2)|𝒢|2,\displaystyle=\alpha_{0}^{(2)}\sqrt{\frac{2}{N(N-1)}}\sum_{m<n}\lvert e_{m}e_{n}\rangle\lvert 0\rangle+\alpha_{1}^{(2)}\frac{1}{\sqrt{N}}\sum_{n}\lvert e_{n}\rangle\lvert 1\rangle+\alpha_{2}^{(2)}\lvert\mathcal{G}\rangle\lvert 2\rangle, (21)
|E0,k(2,1)\displaystyle\lvert E^{(2,1)}_{0,k}\rangle =α1(1)m<ncmn(k)|emen|0+α0(1)ncn(k)|en|1,\displaystyle=\alpha_{1}^{(1)}\sum_{m<n}c_{mn}^{(k)}\lvert e_{m}e_{n}\rangle\lvert 0\rangle+\alpha_{0}^{(1)}\sum_{n}c_{n}^{(k)}\lvert e_{n}\rangle\lvert 1\rangle, (22)
|E1,k(2,1)\displaystyle\lvert E^{(2,1)}_{1,k}\rangle =α0(1)m<ncmn(k)|emen|0α1(1)ncn(k)|en|1,\displaystyle=\alpha_{0}^{(1)}\sum_{m<n}c_{mn}^{(k)}\lvert e_{m}e_{n}\rangle\lvert 0\rangle-\alpha_{1}^{(1)}\sum_{n}c_{n}^{(k)}\lvert e_{n}\rangle\lvert 1\rangle, (23)
|E0,(k,l)(2,2)\displaystyle\lvert E^{(2,2)}_{0,(k,l)}\rangle =m<ncmn(kl)|emen|0,\displaystyle=\sum_{m<n}c_{mn}^{(kl)}\lvert e_{m}e_{n}\rangle\lvert 0\rangle, (24)

where |Ek,p(X,m)\lvert E^{(X,m)}_{k,p}\rangle refers to the kkth eigenstate (in increasing energy) within the XXth manifold and mmth irrep, with pp indexing equivalent states of given multiplicity. These states correspond to the eigenenergies and (second-order) Hopfield coefficients

Ei(2,0){2ETLS2N1g, 2ETLS, 2ETLS+2N1g},Ei(2,1){2ETLS2N2g, 2ETLS+2N2g},E(2,2)0=2ETLS,α0(2){12,12,12},α1(2){12, 0,12},α2(2){12,12,12},\begin{split}E^{(2,0)}_{i}&\in\left\{2E_{TLS}-\sqrt{2}\sqrt{N-1}g,\penalty\ 2E_{TLS},\penalty\ 2E_{TLS}+\sqrt{2}\sqrt{N-1}g\right\},\\ E^{(2,1)}_{i}&\in\left\{2E_{TLS}-\sqrt{2N-2}g,\penalty\ 2E_{TLS}+\sqrt{2N-2}g\right\},\penalty\ E^{(2,2)}_{0}=2E_{TLS},\\ \alpha_{0}^{(2)}&\in\left\{\frac{1}{2},\penalty\ -\frac{1}{\sqrt{2}},\penalty\ \frac{1}{2}\right\},\penalty\ \alpha_{1}^{(2)}\in\left\{-\frac{1}{\sqrt{2}},\penalty\ 0,\penalty\ \frac{1}{\sqrt{2}}\right\},\penalty\ \alpha_{2}^{(2)}\in\left\{\frac{1}{2},\penalty\ \frac{1}{\sqrt{2}},\penalty\ \frac{1}{2}\right\},\end{split} (25)

accordingly for i=0,1,2i=0,1,2. Note that the m=1m=1 eigenstates have the first-order Hopfield coefficients Eqs. (17)–(18).

3 Irrep bases and eigenvalues

3.1 Solving a reduced matrix form

In what follows, we generalize the examples above. We find proper bases for all the irreps for given NN and XX to write the matrix elements of the Hamiltonian in symmetric form. We then use this form to derive a variety of properties for the systems considered by the model and to solve the eigensystem.

Take the unnormalized basis of symmetric states of the TC system [15]. Add irrep information carrying complex-valued symmetric coefficients c(𝒥)c_{\mathcal{I}}^{(\mathcal{J})}, where \mathcal{I} and 𝒥\mathcal{J} are index sets. These are determined by the action of the Young symmetrizer on the NN-TLS states [37, 48, 18]. Let us denote arbitrary vector form states of Vm(X)V_{m}^{(X)} in this basis as

αm(X)\displaystyle\vec{\alpha}^{(X)}_{m} :=(α0,α1,,αXm)T,\displaystyle:=(\alpha_{0},\alpha_{1},\dots,\alpha_{X-m})^{\text{T}}, (26)

where αi\alpha_{i} is the amplitude of a symmetric state with nn photonic excitations, for example

αm(X)\displaystyle\vec{\alpha}_{m}^{(X)} =α0m<ncmn(k)|emen|0+α1ncn(k)|en|1.\displaystyle=\alpha_{0}\sum_{m<n}c_{mn}^{(k)}\lvert e_{m}e_{n}\rangle\lvert 0\rangle+\alpha_{1}\sum_{n}c_{n}^{(k)}\lvert e_{n}\rangle\lvert 1\rangle\text{.} (27)

By orthogonality of the irreps, one finds that the symmetric coefficients obey

c(𝒥)c(𝒥)\displaystyle\sum_{\mathcal{I}}c_{\mathcal{I}}^{(\mathcal{J})}c_{\mathcal{I}}^{(\mathcal{J}^{\prime})*} =𝒥,𝒥δjj,|𝒥|=|𝒥|,\displaystyle=\prod_{\mathcal{J,J^{\prime}}}\delta_{jj^{\prime}},\penalty\ \penalty\ \penalty\ \penalty\ |\mathcal{J}|=|\mathcal{J^{\prime}}|, (28)
c(𝒥)c(𝒥)\displaystyle\sum_{\mathcal{I}}c_{\mathcal{I}}^{(\mathcal{J})}c_{\mathcal{I}}^{(\mathcal{J}^{\prime})*} =0,|𝒥||𝒥|,\displaystyle=0,\penalty\ \penalty\ \penalty\ \penalty\ |\mathcal{J}|\not=|\mathcal{J^{\prime}}|, (29)
c(𝒥)\displaystyle\sum_{\mathcal{I}}c_{\mathcal{I}}^{(\mathcal{J})} =0,\displaystyle=0, (30)

where j𝒥,j𝒥j\in\mathcal{J},j^{\prime}\in\mathcal{J}^{\prime}, and ,𝒥\mathcal{I},\mathcal{J}, and 𝒥\mathcal{J}^{\prime} are index sets of finite order, with |𝒥|=m|\mathcal{J}|=m and ||=XTLS|\mathcal{I}|=X_{\,\mathrm{TLS}}, the latter being the number of atomic excitations present. We further explicitly define c():=1c_{\mathcal{I}}^{(\emptyset)}:=1 for completeness. It should be noted that it is justified to take this basis into use, as these are not yet physical states. The key point is that we can use these as ansatz to find the true normalized bases through similarity transformations.

The interaction Hamiltonian only allows transitions between basis states of adjacent photonic content, and so Eqs. (1)–(2) expanded in the symmetric basis is a tridiagonal matrix. Under the resonance condition ETLS=EcE_{TLS}=E_{c}, the free Hamiltonian is a scalar matrix XETLS1lXE_{TLS}1\kern-2.5pt\text{l}, and so the eigenvalues and eigenvectors of the system depend only on those of the rescaled interaction matrix

A\displaystyle A :=1g(HTCETLS1l)\displaystyle:=\frac{1}{g}(H_{TC}-E_{TLS}1\kern-2.5pt\text{l})
=(0a1a10a2a20a3a30aXm2aXm20aXm1aXm10aXmaXm0)Xm+1,\displaystyle=\begin{pmatrix}0&a_{1}^{\prime}&&&&&&\\ a_{1}&0&a_{2}^{\prime}&&&&&\\ &a_{2}&0&a_{3}^{\prime}&&&&\\ &&a_{3}&0&\ddots&&&\\ &&&\ddots&\ddots&a_{X-m-2}^{\prime}&&\\ &&&&a_{X-m-2}&0&a_{X-m-1}^{\prime}&\\ &&&&&a_{X-m-1}&0&a_{X-m}^{\prime}\\ &&&&&&a_{X-m}&0\end{pmatrix}_{X-m+1}, (31)

where (HI)Xm+1=gA(H_{I})_{X-m+1}=gA. If the original eigenvalue equation of the TC Hamiltonian reads HTC|Vm(X)=E|Vm(X)H_{\text{TC}}\lvert V^{(X)}_{m}\rangle=E\lvert V^{(X)}_{m}\rangle, we have reduced the problem to solving the eigenvalues of AA, Aα=λαA\vec{\alpha}=\lambda\vec{\alpha}, where λ:=EXETLSg\lambda:=\frac{E-XE_{TLS}}{g}.

Let us then find the matrix elements of AA. Consider the two terms of the interaction Hamiltonian, HI[1]:=n=1N|engn|a^H_{I}^{[1]}:=\sum_{n=1}^{N}\lvert e_{n}\rangle\langle g_{n}\rvert\hat{a} and HI[2]:=n=1N|gnen|a^H_{I}^{[2]}:=\sum_{n=1}^{N}\lvert g_{n}\rangle\langle e_{n}\rvert\hat{a}^{\dagger}, acting on bare states of the type |V=|ek|l\lvert V\rangle=\lvert e^{k}\rangle\lvert l\rangle, where |ek=|en1en2enk\lvert e^{k}\rangle=\lvert e_{n_{1}}e_{n_{2}}\cdots e_{n_{k}}\rangle , and k+l=Xk+l=X. The cavity operators a^(a^)\hat{a}\penalty\ (\hat{a}^{\dagger}) operating on the bare states simply correspond to factors of l(l+1)\sqrt{l}\left(\sqrt{l+1}\right). For the HI[1]H_{I}^{[1]} input state |ek1\lvert e^{k-1}\rangle and output state |ek\lvert e^{k}\rangle, (kk1)=k\binom{k}{k-1}=k states can transform into |ek\lvert e^{k}\rangle, so n=1N|engn|\sum_{n=1}^{N}\lvert e_{n}\rangle\langle g_{n}\rvert leaves a factor of kk. Similarly for HI[2]H_{I}^{[2]} input state |ek+1\lvert e^{k+1}\rangle and output state |ek\lvert e^{k}\rangle, NkN-k of states |ek+1\lvert e^{k+1}\rangle can transform into |ek\lvert e^{k}\rangle, leaving a factor of NkN-k. The symmetric coefficients change according to the corresponding irrep. We summarize these results in Table 2.

The procedure we want to generalize is as follows: Find the matrix elements in the symmetric basis and transform them into the properly normalized basis, for general NN, XX, and mm. If we apply the results of Table 2 on the symmetric basis and note that the off-diagonal sequences contain XmX-m terms, we find that the matrix elements are al(C)ala_{l}^{(C)}\cdot a_{l}^{\downarrow} and al(C)ala_{l}^{(C)}\cdot a_{l}^{\uparrow} for the sub- and superdiagonal sequences with values given in Table 3.

Operator Input state Output state
n=1N|engn|a^\sum_{n=1}^{N}\lvert e_{n}\rangle\langle g_{n}\rvert\hat{a} |ek|Xk\lvert e^{k}\rangle\lvert X-k\rangle (k+1)Xk|ek+1|Xk1(k+1)\sqrt{X-k}\lvert e^{k+1}\rangle\lvert X-k-1\rangle
n=1N|gnen|a^\sum_{n=1}^{N}\lvert g_{n}\rangle\langle e_{n}\rvert\hat{a}^{\dagger} |ek|Xk\lvert e^{k}\rangle\lvert X-k\rangle (N(k1))Xk+1|ek1|Xk+1(N-(k-1))\sqrt{X-k+1}\lvert e^{k-1}\rangle\lvert X-k+1\rangle
Table 2: The TC interaction Hamiltonian operating on bare states.
Shared cavity term al(C)a_{l}^{(C)} Subdiagonal term ala_{l}^{\downarrow} Superdiagonal term ala_{l}^{\uparrow}
1\sqrt{1} N(X1)N-(X-1) XX
2\sqrt{2} N(X2)N-(X-2) X1X-1
3\sqrt{3} N(X3)N-(X-3) X2X-2
\vdots \vdots \vdots
X(m1)\sqrt{X-(m-1)} N(m1)N-(m-1) m+2m+2
Xm\sqrt{X-m} NmN-m m+1m+1
Table 3: Cofactors making up the sequences of matrix elements along the sub- and superdiagonals of the symmetric basis Hamiltonian, with XmX-m terms along each sequence.

The Hamiltonian is diagonalizable and Hermitian and therefore symmetric and real in some basis [al=ala_{l}=a_{l}^{\prime}\in\mathbb{R} in Eq. (3.1)]. This coincides with the properly normalized basis, and the proper matrix AA can be found recursively: The matrix PP carrying the basis transformation PAP1PAP^{-1} is diagonal, and the first element is P00=1P_{00}=1. The second element is P11=XNX+1P_{11}=\frac{\sqrt{X}}{\sqrt{N-X+1}}, comprising of the square roots of the first terms in the sub- and superdiagonal sequences. The rest are then determined recursively as Pll=Pl1,l1clclP_{ll}=P_{l-1,l-1}\cdot\frac{\sqrt{c^{\uparrow}_{l}}}{\sqrt{c^{\downarrow}_{l}}}. The new matrix element coefficients are of the form cl:=cl(N)cl(C)cl(M)c_{l}:=c_{l}^{(N)}\cdot c_{l}^{(C)}\cdot c_{l}^{(M)}, where the cofactors cl(i)c_{l}^{(i)} represent normalization (NN), cavity (CC), and TLS (matter, MM) contributions. The matrix elements (A)ij=clδ1|ij|δlmin{i,j}(A)_{ij}=c_{l}\delta^{|i-j|}_{1}\delta^{\min{\{i,j\}}}_{l} are presented in Table 4.

Cavity term cl(C)c_{l}^{(C)} TLS term cl(M)c_{l}^{(M)} Normalization term cl(N)c_{l}^{(N)}
1\sqrt{1} X\sqrt{X} N(X1)\sqrt{N-(X-1)}
2\sqrt{2} X1\sqrt{X-1} N(X2)\sqrt{N-(X-2)}
3\sqrt{3} X2\sqrt{X-2} N(X3)\sqrt{N-(X-3)}
\vdots \vdots \vdots
X(m1)\sqrt{X-(m-1)} m+2\sqrt{m+2} N(m+1)\sqrt{N-(m+1)}
Xm\sqrt{X-m} m+1\sqrt{m+1} Nm\sqrt{N-m}
Table 4: Cofactors making up the sequences of matrix elements cl=cl(N)cl(C)cl(M)=l(X+1l)(NX+l)c_{l}=c_{l}^{(N)}\cdot c_{l}^{(C)}\cdot c_{l}^{(M)}=\sqrt{l(X+1-l)(N-X+l)} along the first off-diagonals of the proper basis Hamiltonian HIH_{I}, with XmX-m terms in each sequence.

As a real symmetric tridiagonal matrix, AA has many useful properties. An immediate consequence is that all the eigenvalues are simple and real. This means that the representation-theoretic multiplicity then determines also the multiplicities of the eigenvalues. If D:=diag(,1,1,1,1)D:=\,\mathrm{diag}(\dots,-1,1,-1,1), it is easy to see that AA and DD anticommute, so the spectrum of AA is symmetric about zero (see Appendix B.1). A direct corollary is that 00 is an eigenvalue for Xm0mod2X-m\equiv 0\mod{2}, and that one has to solve only one half of the spectrum, allowing for significant numerical optimization. As mm restricts only the length of the matrix element sequence above—within a given excitation manifold—the matrix corresponding to m=m1m^{\prime}=m-1 is a principal submatrix of that of mm. It follows from the Cauchy interlacing theorem that the eigenvalues of Hm(X)H^{(X)}_{m} and Hm1(X)H^{(X)}_{m-1} alternate [38]. Starting recursively from HX(X)H^{(X)}_{X}, it follows that H0(X)H^{(X)}_{0} has the extremal eigenvalues of an excitation manifold. These extremal values have a bound proportional to the matrix elements according to the Geršgorin disc theorem [21]. By estimating the values of Table 4 upward for m=0m=0 by l(Xl)X/2\sqrt{l\cdot(X-l)}\leq X/2 and cl(N)Nc^{(N)}_{l}\leq\sqrt{N}, a Geršgorin bound of XNX\sqrt{N} is found. Later calculations show that this is very close to the true extremal values.

With the bases and matrix elements derived above, we are able to calculate the eigenvalues Ek(X,m)=XETLS+λk(X,m)gE^{(X,m)}_{k}=XE_{TLS}+\lambda^{(X,m)}_{k}g, the eigenvectors |Ek,p(X,m)\lvert E^{(X,m)}_{k,p}\rangle, their probability amplitudes squared |αi|2|\alpha_{i}|^{2}, average photonic content nc\langle n_{c}\rangle, and average TLS excitation content nTLS\langle n_{\,\mathrm{TLS}}\rangle. These quantities are presented in Table 5 for X=1,2,3X=1,2,3, where we omit writing the indices (X,m)(X,m) where it does not cause confusion. The vector components αi\alpha_{i} have convergent NN-dependence, strong already at realistic values of N>106N>10^{6}, so we have calculated limNαi\lim_{N\rightarrow\infty}\alpha_{i} for the tabled values (more on the limit in Section 4). We will continue by inspecting each quantity at a time.

3.2 Matrix spectra

We see from Table 5 that the eigenvalues tend to follow a pattern of nested square roots containing polynomials of NN. While it may be possible, an analytical expression for general NN, XX, and mm seems to be highly non-trivial to find. The properties of AA described above allow for heavy optimization with numerical methods. For the following calculations, we used the NumPy library for Python. Fig. 3 shows the eigenvalues λ\lambda of AA against their multiplicities for N=1000N=1000 and X{3,10,75,350,450,500}X\in\{3,10,75,350,450,500\}. The color encodes the symmetry index mm. Panels (a–c) are in logarithmic scale and 0mX0\leq m\leq X. Panels (d–f) are in linear scale and 0.8XmX0.8X\leq m\leq X. Recall that m=0m=0 corresponds to multipolaritons and m=Xm=X to dark states, with maximal and minimal nc\langle n_{c}\rangle, respectively.

We see that the statistical relevance of differing energies centers near the dark states. This effect is countered by the fact that lower-mm irreps are more dense in energy states due to higher dimensions and the spectrum being bounded. The eigenvalues are mirror-symmetric around zero. We also recognize the effects on the relevance of dark states seen already in Fig. 2. Furthermore, photonic energy states appear at the dark-state energy for even XmX-m due to the symmetric spectrum, although this is perturbed by the detuning, i.e., ETLSEcE_{TLS}\not=E_{c} [44].

Note that the multiplicities grow considerably between panels. This growth is stunted after X>N2X>\frac{N}{2} as no new irreps appear and the energy levels only get denser (Table 1). This can be understood as approaching a continuous limit for the energy spectrum. As the SNS_{N} irreps define the TLS excitation content of the eigenstates, dark states must disappear after this limit, with new excitations going to the cavity.

|Ek\lvert E_{k}\rangle |Ek=(αi)i=0Xm\lvert E_{k}\rangle=(\alpha_{i})_{i=0}^{X-m} {|αi|2}\left\{|\alpha_{i}|^{2}\right\} nc\langle n_{c}\rangle nTLS\langle n_{TLS}\rangle
V0(1)V_{0}^{(1)} λk{±N}\lambda_{k}\in\left\{\pm\sqrt{N}\right\}
|E0\lvert E_{0}\rangle 12(1,1)T\frac{1}{\sqrt{2}}\left(-1,1\right)^{\mathrm{T}} {12,12}\left\{\frac{1}{2},\frac{1}{2}\right\} 1/21/2 1/21/2
|E1\lvert E_{1}\rangle 12(1,1)T\frac{1}{\sqrt{2}}\left(1,1\right)^{\mathrm{T}} {12,12}\left\{\frac{1}{2},\frac{1}{2}\right\} 1/21/2 1/21/2
V0(2)V_{0}^{(2)} λk{0,±4N2}\lambda_{k}\in\left\{0,\pm\sqrt{4N-2}\right\}
|E0\lvert E_{0}\rangle 12(1,2,1)T\frac{1}{2}\left(1,-\sqrt{2},1\right)^{\mathrm{T}} {14,12,14}\left\{\frac{1}{4},\frac{1}{2},\frac{1}{4}\right\} 1 1
|E1\lvert E_{1}\rangle 12(1,0,1)T\frac{1}{\sqrt{2}}\left(-1,0,1\right)^{\mathrm{T}} {12,0,12}\left\{\frac{1}{2},0,\frac{1}{2}\right\} 1 1
|E2\lvert E_{2}\rangle 12(1,2,1)T\frac{1}{2}\left(1,\sqrt{2},1\right)^{\mathrm{T}} {14,12,14}\left\{\frac{1}{4},\frac{1}{2},\frac{1}{4}\right\} 1 1
V1(2)V_{1}^{(2)} λk{±2N2}\lambda_{k}\in\left\{\pm\sqrt{2N-2}\right\}
|E0\lvert E_{0}\rangle 12(1,1)T\frac{1}{\sqrt{2}}\left(-1,1\right)^{\mathrm{T}} {12,12}\left\{\frac{1}{2},\frac{1}{2}\right\} 1/21/2 3/23/2
|E1\lvert E_{1}\rangle 12(1,1)T\frac{1}{\sqrt{2}}\left(1,1\right)^{\mathrm{T}} {12,12}\left\{\frac{1}{2},\frac{1}{2}\right\} 1/21/2 3/23/2
V0(3)V_{0}^{(3)} λk{±5N5+16N232N+25,±5N516N232N+25}\lambda_{k}\in\left\{\pm\sqrt{5N-5+\sqrt{16N^{2}-32N+25}},\penalty\ \pm\sqrt{5N-5-\sqrt{16N^{2}-32N+25}}\right\}
|E0\lvert E_{0}\rangle 122(1,3,3,1)T\frac{1}{2\sqrt{2}}\left(-1,\sqrt{3},-\sqrt{3},1\right)^{\text{T}} {18,38,38,18}\left\{\frac{1}{8},\frac{3}{8},\frac{3}{8},\frac{1}{8}\right\} 3/23/2 3/23/2
|E1\lvert E_{1}\rangle 322(1,13,13,1)T\frac{\sqrt{3}}{2\sqrt{2}}\left(1,-\frac{1}{\sqrt{3}},-\frac{1}{\sqrt{3}},1\right)^{\text{T}} {38,18,18,38}\left\{\frac{3}{8},\frac{1}{8},\frac{1}{8},\frac{3}{8}\right\} 3/23/2 3/23/2
|E2\lvert E_{2}\rangle 322(1,13,13,1)T\frac{\sqrt{3}}{2\sqrt{2}}\left(-1,-\frac{1}{\sqrt{3}},\frac{1}{\sqrt{3}},1\right)^{\text{T}} {38,18,18,38}\left\{\frac{3}{8},\frac{1}{8},\frac{1}{8},\frac{3}{8}\right\} 3/23/2 3/23/2
|E3\lvert E_{3}\rangle 122(1,3,3,1)T\frac{1}{2\sqrt{2}}\left(1,\sqrt{3},\sqrt{3},1\right)^{\text{T}} {18,38,38,18}\left\{\frac{1}{8},\frac{3}{8},\frac{3}{8},\frac{1}{8}\right\} 3/23/2 3/23/2
V1(3)V_{1}^{(3)} λk{0,±7N10}\lambda_{k}\in\left\{0,\pm\sqrt{7N-10}\right\}
|E0\lvert E_{0}\rangle 27(32,72,1)T\frac{\sqrt{2}}{\sqrt{7}}\left(\frac{\sqrt{3}}{2},-\frac{\sqrt{7}}{2},1\right)^{\mathrm{T}} {314,714,414}\left\{\frac{3}{14},\frac{7}{14},\frac{4}{14}\right\} 1+1/141+1/14 21/142-1/14
|E1\lvert E_{1}\rangle 37(23,0,1)T\frac{\sqrt{3}}{\sqrt{7}}\left(-\frac{2}{\sqrt{3}},0,1\right)^{\mathrm{T}} {47,0,37}\left\{\frac{4}{7},0,\frac{3}{7}\right\} 12/141-2/14 2+2/142+2/14
|E2\lvert E_{2}\rangle 27(32,72,1)T\frac{\sqrt{2}}{\sqrt{7}}\left(\frac{\sqrt{3}}{2},\frac{\sqrt{7}}{2},1\right)^{\mathrm{T}} {314,714,414}\left\{\frac{3}{14},\frac{7}{14},\frac{4}{14}\right\} 1+1/141+1/14 22/142-2/14
V2(3)V_{2}^{(3)} λk{±3N6}\lambda_{k}\in\left\{\pm\sqrt{3N-6}\right\}
|E0\lvert E_{0}\rangle 12(1,1)T\frac{1}{\sqrt{2}}\left(-1,1\right)^{\mathrm{T}} {12,12}\left\{\frac{1}{2},\frac{1}{2}\right\} 1/21/2 5/25/2
|E1\lvert E_{1}\rangle 12(1,1)T\frac{1}{\sqrt{2}}\left(1,1\right)^{\mathrm{T}} {12,12}\left\{\frac{1}{2},\frac{1}{2}\right\} 1/21/2 5/25/2
VX(X)V_{X}^{(X)} |E0(X,m)=(1)\lvert E^{(X,m)}_{0}\rangle=(1), λ=0\lambda=0 {1}\left\{1\right\} 00 XX
Table 5: Eigensystems of AA for X=1,2,3X=1,2,3. Presented in order are kets, vector components with limN\lim_{N\rightarrow\infty}, probability amplitudes squared, average photonic content, and average TLS content. The irreps are divided by listing the subspace Vm(X)V_{m}^{(X)} and the scaled eigenvalues λk\lambda_{k}. Energies Ek=XETLS+λkgE_{k}=XE_{TLS}+\lambda_{k}g are in increasing order of kk.

The center of the true eigenvalues is XETLSXE_{TLS}, and so the difference between manifold centers is ETLSE_{TLS}. However, the bounds of the spectra grow proportional to XNX\sqrt{N}, and numerical calculations suggest that the latter factor is in the order of N𝒪(X)\sqrt{N-\mathcal{O}(X)}. This means that in the full energy spectrum of the TC model, the excitation manifolds start to overlap. For the approximate values of ETLS=3.0eVE_{TLS}=3.0\penalty\ \,\mathrm{eV} and g=0.3meVg=0.3\penalty\ \,\mathrm{meV} [2], we can estimate the overlap by

Emin(X)<Emax(X1)ETLS<(2X1)Ng,\begin{split}E_{min}^{(X)}&<E_{max}^{(X-1)}\\ \Leftrightarrow E_{TLS}&<(2X-1)\sqrt{N}g,\end{split} (32)

giving the following values of XX for fixed NN,

N=103\displaystyle N=10^{3} :X>159,\displaystyle:\penalty\ X>159, (33)
N=106\displaystyle N=10^{6} :X>6,\displaystyle:\penalty\ X>6, (34)

understandable through the increasing Rabi split with growing NN. The spectra start to overlap already at low excitation numbers. This shows that the picture of separate energy landscapes between manifolds (see, e.g., Ref. [44]) does not hold for realistic values of NN and XX.

Refer to caption
Figure 3: Eigenvalue distributions of AA for N=1000N=1000 and X{3,10,75,350,450,500}X\in\{3,10,75,350,450,500\}. Panels (a–c) are in logarithmic scale and 0mX0\leq m\leq X, showing a trade-off between the multiplicity and energy density for high and low mm. Panels (d–f) show linearly for 0.8XmX0.8X\leq m\leq X, how the statistically most relevant states compare at high excitation numbers. The distributions represent a unitless, centered-around-zero energy spectrum for the system, scalable to arbitrary ETLS=EcE_{TLS}=E_{c} and gg. The TLS excitation content of the states is proportional to mm, such that red points have higher photonic content, and black points refer to dark states. The panels then show a statistical comparison between the variety of states with differing photonic contents.

We see from Table 5 that the photonic and TLS excitation contents follow approximately the patterns

nc\displaystyle\langle n_{c}\rangle Xm2,\displaystyle\simeq\frac{X-m}{2}, (35)
nTLS\displaystyle\langle n_{TLS}\rangle X+m2.\displaystyle\simeq\frac{X+m}{2}\text{.} (36)

The averages of the contents over the irreps Vm(X)V^{(X)}_{m} are basis-independent and can be calculated in the symmetric basis to be exactly Eqs. (35)–(36) (see Appendix B.2). This suggests that states with higher mm contribute more to material processes, such as singlet-singlet annihilation of excitons in organic molecules [36]. Fig. 3 also suggests that these processes are further amplified by large multiplicities, and that the contributing states lie close to the middle of the spectrum in energy.

4 Eigenstates, selection rules, and emission energies

4.1 Asymptotic eigensystem

The true eigenvalues and eigenstates of the system can be calculated numerically with the results of the previous section. However, as analytical expressions are difficult to formulate, we will use the asymptotic limit NN\rightarrow\infty to find useful properties, which can then be shown to hold also without the limit. The limit has also been used as a starting point for a perturbative approach to find the true eigenstates for a given NN [32]. This limit is reasonable, as the diverging N\sqrt{N} is balanced by the coupling strength gg decreasing with growing NN.

Noting that for nn\in\mathbb{N}, limNNn=limNN\lim_{N\rightarrow\infty}\sqrt{N-n}=\lim_{N\rightarrow\infty}\sqrt{N}, it can be seen that

limNA\displaystyle\lim_{N\rightarrow\infty}A =limNNA~\displaystyle=\lim_{N\rightarrow\infty}\sqrt{N}\tilde{A\penalty\ }
0\displaystyle\Leftrightarrow 0 =limN(1NAA~),\displaystyle=\lim_{N\rightarrow\infty}\left(\frac{1}{\sqrt{N}}A-\tilde{A\penalty\ }\right),
A~\displaystyle\tilde{A\penalty\ } =(0XX02X12X10Xmm+1Xmm+10),\displaystyle=\begin{pmatrix}0&\sqrt{X}&&&\\ \sqrt{X}&0&\sqrt{2}\sqrt{X-1}&&\\ &\sqrt{2}\sqrt{X-1}&0&\ddots&\\ &&\ddots&\ddots&\sqrt{X-m}\sqrt{m+1}\\ &&&\sqrt{X-m}\sqrt{m+1}&0\end{pmatrix}, (37)

and so AA and A~\tilde{A\penalty\ } are simultaneously diagonalizable, meaning that they have the same eigenstates at high NN. These are the eigenstates in Table 5. The new matrix A~\tilde{A\penalty\ } is much easier to solve, and it carries additional properties. For m=0m=0 it is persymmetric, i.e., symmetric with respect to the anti-diagonal. Since A~\tilde{A\penalty\ } is also symmetric, this is quantified as commuting with the exchange matrix JJ. This commutation makes the eigenstates of A~\tilde{A\penalty\ } those of JJ also, with eigenvalues ±1\pm 1, giving JJ the interpretation of a parity operator, where each eigenstate is labeled by an integer ±1\pm 1

{Jα0(X)=α0(X),Jα0(X)=α0(X).\displaystyle\begin{cases}J\vec{\alpha}^{(X)}_{0}=\vec{\alpha}^{(X)}_{0},\\ J\vec{\alpha}^{(X)}_{0}=-\vec{\alpha}^{(X)}_{0}.\end{cases} (38)

Component-wise, this means that the eigenstate components are (anti-)symmetric about the middle component depending on the parity ±1\pm 1. There are equally many (or off by one for odd dimension) of the two parities, and in Appendix B.3 we show that they must alternate with increasing eigenvalue. We also notice that the JJ and DD from Section 3 (anti-)commute for (even) odd dimensions, meaning that parity is (anti-)symmetric along the spectrum. The converging factors of the true eigenstate components are square roots of positive rational functions of NN, meaning that the strict parity of the high NN limit still shows as generalized parity in the signs of the true components. The binary “sign pattern” of an eigenstate then becomes a descriptive property of the said state.

4.2 Allowed trajectories

Let us then consider coupling with an environment of bosonic modes, with interactions given by the system part of a product interaction Hamiltonian [9, 42]

HI,S\displaystyle H_{I,S} =a^+a^.\displaystyle=\hat{a}+\hat{a}^{\dagger}. (39)

These operators conserve the cooperation number SS, and so mm is also conserved (same applies for S^\hat{S} and S^\hat{S}^{\dagger}). This means that the dynamics generated by Eq. (39) must be restricted within subspaces of the same irrep. For example, subsequent instances of emission (a^\hat{a}) will drive all the dark polaritons to dark states. This can be disturbed by symmetry-breaking processes, such as dephasing generated by, e.g., S^x\hat{S}_{x}.

Polaritonic systems often undergo internal processes at faster rates compared to environment-induced ones such as emission or non-radiative relaxation [43]. Since a system naturally minimizes its energy, the environmental processes mostly concern minimal eigenstates of given irreps. This can be further restricted to the lowest-energy eigenstates of the totally symmetric irrep, if we allow dephasing. This allows us to focus on these states and find selection rules for the trajectories of the system.

One can show (Appendix B.4) that the eigenstates of A~\tilde{A\penalty\ } with eigenvalues XX are given by the components

|EX(X,0)l=12X(Xl),\displaystyle\lvert E^{(X,0)}_{X}\rangle_{l}=\sqrt{\frac{1}{2^{X}}\binom{X}{l}}, (40)

for 0lX0\leq l\leq X. On the other hand, Geršgorin discs give an upper bound of XX for the eigenvalues, meaning that this is the maximal eigenstate. Because the spectrum is symmetric, the minimum energy is X-X with the eigenstate D|EX(X,0)=|E0(X,0)|ELMP(X)D\lvert E^{(X,0)}_{X}\rangle=\lvert E^{(X,0)}_{0}\rangle\equiv\lvert E^{(X)}_{LMP}\rangle, i.e., the lowest multipolariton (LMP). A direct calculation in Appendix B.5 shows that these states have excitation contents X2\frac{X}{2}, equaling to the matrix element contributing to the radiative transition probability

|ELMP(X1)|a^|ELMP(X)|2\displaystyle|\langle E^{(X-1)}_{LMP}\rvert\hat{a}\lvert E^{(X)}_{LMP}\rangle|^{2} =ELMP(X)|n^|ELMP(X)=X2.\displaystyle=\langle E^{(X)}_{LMP}\rvert\hat{n}\lvert E^{(X)}_{LMP}\rangle=\frac{X}{2}. (41)

It can be further seen that the span of lowest-energy eigenstates is closed under a^\hat{a}. This means that the transition probability to other states must be equal to zero. We can evaluate the inner product with the Cauchy-Schwartz (CS) inequality

X2=ELMP(X1)|a^|ELMP(X)\displaystyle\sqrt{\frac{X}{2}}=\langle E^{(X-1)}_{LMP}\rvert\hat{a}\lvert E^{(X)}_{LMP}\rangle E(X1)LMP|E(X1)LMPE(X)LMP|a^a^|E(X)LMP\displaystyle\leq\sqrt{\langle E^{(X-1)}_{LMP}\,|\,\mathopen{}E^{(X-1)}_{LMP}\rangle\langle E^{(X)}_{LMP}\rvert\hat{a}^{\dagger}\hat{a}\lvert E^{(X)}_{LMP}\rangle}
=1nc0(X,0)=X2,\displaystyle=\sqrt{1\cdot\langle n_{c}\rangle^{(X,0)}_{0}}=\sqrt{\frac{X}{2}}, (42)

where equality holds if and only if a^|ELMP(X)span{|ELMP(X1)}\hat{a}\lvert E^{(X)}_{LMP}\rangle\in\,\mathrm{span}\left\{\lvert E^{(X-1)}_{LMP}\rangle\right\}, showing the claim by orthogonality of the eigenstates. By taking Hermitian conjugates of the above equations, one reaches the same result for a^\hat{a}^{\dagger},

a^\displaystyle\hat{a} :V0(X)V0(X1),|ELMP(X)X2|ELMP(X1),\displaystyle:\penalty\ V_{0}^{(X)}\rightarrow V_{0}^{(X-1)},\penalty\ \lvert E^{(X)}_{LMP}\rangle\mapsto\sqrt{\frac{X}{2}}\lvert E^{(X-1)}_{LMP}\rangle, (43)
a^\displaystyle\hat{a}^{\dagger} :V0(X)V0(X+1),|ELMP(X)X+12|ELMP(X+1).\displaystyle:\penalty\ V_{0}^{(X)}\rightarrow V_{0}^{(X+1)},\penalty\ \lvert E^{(X)}_{LMP}\rangle\mapsto\sqrt{\frac{X+1}{2}}\lvert E^{(X+1)}_{LMP}\rangle. (44)

Next, we will consider three types of processes: emission \mathcal{E}, symmetry-preserving (or mm-conserving) processes Φ\Phi, and symmetry-breaking processes Ψ\Psi. If we decompose a general density operator under the irrep structure, ρ=mρm\rho=\bigoplus_{m}\rho_{m}, these quantum channels can be written as follows.

Φ:𝒮((X))𝒮((X)),\displaystyle\Phi:\mathcal{S}\left(\mathcal{H}^{(X)}\right)\rightarrow\mathcal{S}\left(\mathcal{H}^{(X)}\right), Φ(ρ)=mΦm(ρm),\displaystyle\penalty\ \penalty\ \penalty\ \Phi(\rho)=\bigoplus_{m}\Phi_{m}(\rho_{m}), (45)
Ψ:𝒮((X))𝒮((X)),\displaystyle\Psi:\mathcal{S}\left(\mathcal{H}^{(X)}\right)\rightarrow\mathcal{S}\left(\mathcal{H}^{(X)}\right), Ψ(ρ)=ρmΨm(ρm),\displaystyle\penalty\ \penalty\ \penalty\ \Psi(\rho)=\rho^{\prime}\not=\bigoplus_{m}\Psi_{m}(\rho_{m}), (46)

where Φm\Phi_{m} and Ψm\Psi_{m} are restrictions of Φ\Phi and Ψ\Psi to Vm(X)V_{m}^{(X)}, and 𝒮((X))\mathcal{S}(\mathcal{H}^{(X)}) is the state space corresponding to the excitation manifold (X)\mathcal{H}^{(X)}. The emission channel \mathcal{E} is given by Eq. (43). An example of Φ\Phi could be Lindbladians generated by a^\hat{a} or S^\hat{S}, and an example of Ψ\Psi could be total TLS dephasing generated by the Pauli operator S^x\hat{S}_{x}.

A physically allowed channel φ\varphi has the Kraus representation φ(ρ)=iKiρKi\varphi(\rho)=\sum_{i}K^{\dagger}_{i}\rho K_{i}, corresponding to the Markovian master equation [4]

ρ˙\displaystyle\dot{\rho} =i[H,ρ]+κφi(KiρKi12{KiKi,ρ}),\displaystyle=-i[H,\rho]+\kappa_{\varphi}\sum_{i}\left(K_{i}^{\dagger}\rho K_{i}-\frac{1}{2}\left\{K_{i}K_{i}^{\dagger},\rho\right\}\right), (47)

where κφ\kappa_{\varphi} is the channel’s rate. Let the rates κ,κΦ\kappa_{\mathcal{E}},\penalty\ \kappa_{\Phi}, and κΨ\kappa_{\Psi} correspond to the above channels. In the following subsections, we will restrict to two regimes, defined by the magnitude of κΨ\kappa_{\Psi} compared to the others: the “slow” regime with κΨκκΦ\kappa_{\Psi}\ll\kappa_{\mathcal{E}}\ll\kappa_{\Phi} and the “fast” regime with κκΨ,κΦ\kappa_{\mathcal{E}}\ll\kappa_{\Psi},\penalty\ \kappa_{\Phi}. In Fig. 4, we visualize these processes in a schematic picture of the structure theory.

Refer to caption
Figure 4: A schematic illustration of the quantum channels \mathcal{E}, Ψ\Psi, and Φ\Phi. The boxes correspond to the representations Vm(X)V_{m}^{(X)} and the lines inside to the energy eigenstates |Ek(X,m)\lvert E^{(X,m)}_{k}\rangle. \mathcal{E} induces transitions between LMP states of adjacent excitation manifolds, Ψ\Psi transitions between irreps within a given manifold, and Φ\Phi transitions between states within a given manifold and irrep.
Refer to caption
Figure 5: Normalized multiplicities against emission energies for N=1000N=1000, g=0.3/NeVg=0.3/\sqrt{N}\penalty\ \,\mathrm{eV}, Ec=ETLS=3.0eVE_{c}=E_{TLS}=3.0\penalty\ \,\mathrm{eV} and X{300,400,500,600,1000,2000}X\in\{300,400,500,600,1000,2000\}. Panels (a–c) show how the dark-polariton multiplicities overtake the dark states. (d–f) show how for X>N/2X>N/2 the spectrum slowly flips and concentrates around the m=0m=0 emission energy. In the negative-energy regions highlighted by red color, the initial state is lower in energy than the final state, and emission cannot occur.

4.3 Emission energies in the slow dephasing regime

We are particularly interested in the predictions that our expanded model makes of emission. Assuming fast mm-conserving relaxation within each irrep, our model predicts emission peaks centered at the energy differences between the irreps’ lowest-energy eigenstates. By Fermi’s golden rule [13], the peaks are also proportional to the density of states (DOS), represented here by the discrete multiplicity distribution. Importantly, our model allows for significant numerical optimization when solving these features.

The system can also relax through TLS dephasing [43], which, however, does not necessarily preserve the symmetry index mm. Let us first consider dephasing-generated rates of internal conversion much slower than emission. In this case, our model allows to estimate both the spectral positions and relative intensities of the (possible) emission peaks. Whether these peaks are actually observable depends on the competing processes that we omit here for simplicity.

Fig. 5 shows the emission energies ΔE=i|HTC|if|HTC|f=ELMP(X)ELMP(X1)\Delta E=\langle i\rvert H_{\,\mathrm{TC}}\lvert i\rangle-\langle f\rvert H_{\,\mathrm{TC}}\lvert f\rangle=E^{(X)}_{LMP}-E^{(X-1)}_{LMP} between the lowest-energy states of each irrep against normalized multiplicities (DOS) for different values of XX. Again, the color encodes the symmetry index mm. Energies adjacent in mm are connected by interpolating lines. In all panels, we see that the peaks are extremely dense at low mm, panel (c) having over half of the peaks above the X=1X=1 LP energy, indicated by the dashed line. Panels (a–c) show that as XX grows up to N/2N/2, the emission maximum shifts to higher energies, and the total distribution approaches a Poissonian-like form with a maximum red-shifted from the X=1X=1 LP energy.

Energy differences below zero appear as well, but they result from the assumption of the initial energy being higher. These sign differences depend on the parameters NN, EcE_{c}, and gg, and negative energies should be interpreted as absorption.

Panels (d–f) show that when X>N/2X>N/2, the high-mm emission energies jump near the cavity energy, indicated by the dotted line. When XX still keeps increasing, all the peaks shift closer to the cavity, indicating a loss of light–matter hybridization at saturated excitation densities [20]. After X3N/4X\gtrsim 3N/4, all of the energies overtake the X=1X=1 LP energy, indicating blue shift. At the high-XX limit, all the energies collapse on the m=0m=0 emission, forming a sharp peak approaching EcE_{c}. In Appendix D, we present figures for a direct comparison between different excitation manifolds. We also consider energy differences between higher-energy states of the irreps, corresponding to a regime of mm-conserving rates comparable to emission.

4.4 Emission energies in the fast dephasing regime

Refer to caption
Figure 6: LMP emission energy against total excitation density X/NX/N for N=1000N=1000. (a) Sublinear blue shift of the LMP emission dominant for fast internal relaxation rates within excitation manifolds. The inset shows the difference between the graph at N=106N=10^{6} and N=103N=10^{3}, highlighting the small significance of NN for the LMP emission. (b) After X>NX>N, the LMP emission turns to approach the cavity energy asymptotically in growing XX.

Of greater interest is the regime where internal conversion induced by dephasing dominates, as this is commonly the case [43]. Under fast dephasing, the subspaces labeled by mm are not closed under the dynamics and the permutational symmetry is perturbed. In this regime, the system first relaxes to the lowest-energy eigenstate of each excitation manifold, and so the LMP states dominate emission.

In Fig. 6, we have plotted the LMP emission energy as a function of excitation density X/NX/N for N=1000N=1000. Panel (a) shows a sublinear blue shift of the emission for 0XN0\leq X\leq N. This behavior is extremely stable under changing NN. The inset shows how the emission changes for different NN, δE:=ΔE(N=106)ΔE(N=103)\delta E:=\Delta E(N=10^{6})-\Delta E(N=10^{3}), indicating further reduction of this NN-dependence at higher values of XX. Panel (b) shows how the emission behavior changes after X>NX>N, i.e., when the irrep dimension gets locked (see Section 2); the emission peak approaches EcE_{c} asymptotically at growing excitation densities. This effect is further strengthened by the collapse of emission energies around the LMP peak (see Fig. 5) and the most prominent for high NN, as the multiplicity approaches a sharp peak at m=N/2m=N/2 for NN\rightarrow\infty (see Appendix C).

Notably, the blue shift in Fig. 6 is similar to previously reported blue shifts in polaritonic systems [55, 52]. This blue shift of the classical LP emission peak towards the cavity is expected, though. When the excitation number grows, the TLS part of the system saturates in energy. The irreps reach their maximal dimensions, preventing further TLS excitations by symmetry. Consequently, additional excitations increasingly populate the cavity mode, causing the photonic component of the system to become dominant. Our model therefore provides a microscopic complement to the mechanism proposed in Refs. [55, 52]: the quenching of Rabi splitting due to the saturation of molecular optical transitions, or “bleaching”.

Finally, the emission results also suggest why the well-established X=1X=1 model works so well for modeling observed spectra. For moderate excitation densities, the emission peak stays very close to ELPE_{LP}. Small discrepancies from the X=1X=1 case might not even be distinguishable due to non-zero linewidths. Higher excitation densities, on the other hand, are naturally suppressed in many applications, e.g., by intermolecular annihilation processes [34].

Discussion

In this paper, we derived the structure theory for the TC model with an arbitrary number of TLSs and excitations. We calculated the matrix spectra, eigenstates, and spectral properties of the system, using the representation-theoretic nature of the model to drastically reduce the number of degrees of freedom; the largest matrices computed in this work would have been 103106\approx 10^{3\cdot 10^{6}}-dimensional without the provided theory, beyond any other computational method. Still, while the fundamental building blocks of our model remain linear, energy relations receive a highly nonlinear structure at large excitation numbers.

We applied the model to derive selection rules for the dynamical generators of an emitting cavity. We found that at realistic excitation numbers, the radiant regime of energy states (dark polaritons) grows to rival the statistical proportions of the dark states. The selection rules also allowed us to make qualitative predictions of emission. For slow internal dephasing rates, statistical multiplicities of dark polaritons indicate red shift of the emission maximum at lower excitation densities. However, more common faster rates put multipolaritons in a key role, resulting in blue-shifted emission peak at all values of XX. The predicted blue shift has been experimentally observed [55, 52], although establishing a direct connection between our theory and experiment requires further investigation and is left for future work. Furthermore, the multipolariton emission peak was found to be near the X=1X=1 LP emission, showing why the widely used X=1X=1 model fits to experimental data despite its simplicity. Finally, the structure was shown to saturate at excitation numbers 𝒪(N)\mathcal{O}(N), leading to an asymptotic cavity-like behavior.

The analysis was carried out under zero detuning and uniform coupling, considering only a single cavity mode. This allowed us to obtain analytical results that can also be extended to less restrictive assumptions and other parameter regimes using perturbative approaches. While it is clear that more extensions of the model are needed, it is this simplicity that allows for a clear first understanding of these regimes of higher energy.

In general, our work unveils the rich structure of the uncomputably large energy space of the full TC model while also taming its size. The model creates an understandable general picture of the full quantum mechanical system, covering a vast range of applications due to its fundamental nature. It sets the stage for experimental comparison with the predicted emissive behavior. In addition to the spectral study of this work, the presented model also works as a tool for studying processes involving many excitations, such as annihilation processes. This exciting regime is fundamentally invisible to the few-excitation models, pinpointing a way forward for further fundamental understanding.

Data availability

The codes for generating the data and the figures are available at https://github.com/LMD-UTU/SC_w_X_excitations.

Acknowledgments

This project has received funding from the Research Council of Finland project “X-SHIELD” (decision number 369819) and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement number 948260). Views and opinions expressed are, however, those of the authors only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them. OS acknowledges financial support from the Research Council of Finland under PROFI 7 – Strengthening the Profiling of Universities, on Sustainable Materials and Manufacturing (“SUSMAT”, decision number 352727).

Author contributions

AP carried out the analysis and wrote the first draft. OS conceptualized the work and supervised it together with KL and KSD. KSD was responsible for funding acquisition, project administration, and resources. All authors discussed the contents and participated in reviewing and editing.

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APPENDIX

Appendix A Young tableaux and hook lengths

A Young diagram is a matrix of left-justified rows of NN cells, with given shape λ\lambda defined by a partition of NN, λ=(n1,n2,,nk)\lambda=(n_{1},n_{2},\dots,n_{k}), where i=1kni=N\sum_{i=1}^{k}n_{i}=N. It is common to list the kk parts nin_{i} of the partition in decreasing order. For example, the Young diagram corresponding to N=9N=9 and λ=(4,2,2,1)\lambda=(4,2,2,1) is in English notation

.

Two different definitions are used, English or French notation, differing only in the order of the parts nin_{i}, i.e, the same diagram in French notation would be

.

We fix to use English notation in this work. We can further label the cells of a Young diagram with an ordered set of NN symbols to get a Young tableau. This labeling is in a sense arbitrary, and can be fixed to be the integers [1,N][1,N]. The canonical labeling is the one with natural ordering of the numbers from the top left row-wise, for example for the diagram above

11 44 55 66 77 88 99

.

A tableau is called a standard Young tableau (SYT) if the labeling on each row is strictly increasing, and similarly a semistandard Young tableau (SSYT) if the labeling is non-decreasing. The notion of the SSYT allows us to consider numbers reappearing in the diagram, which can happen naturally in some applications [19]. An SSYT can be equivalently described through strictly increasing labels moving down along columns. The canonically labeled tableau is an SYT, and an example of an SSYT would be

11 44 33 44 55 55 77

.

Following the convention of (weakly) decreasing parts nin_{i} of partition λ\lambda, the number of cells on each row must be non-increasing. For example for N=4N=4, all the diagrams considered are

, , , , .

The number of SYTs with NN cells is known to correspond to the sequence of integers known as the involution numbers [47]. The number of SSYTs related to a specific shape λ\lambda is also known, and it is given by the famous hook length formula [37]. The hook length of a cell h(i,j)h(i,j) is the number of cells directly below and to the right of the cell at iith row and jjth column, counting the cell itself. This shape forms a “hook” to the right, giving the name. This quantity is then used for the hook length formula

dimSλ\displaystyle\dim{S^{\lambda}} =N!h(i,j),\displaystyle=\frac{N!}{\prod h(i,j)}, (48)

where NN is the number of cells and SλS^{\lambda} is an irrep of SNS_{N} [19]. As mentioned above, this quantity is equal to the number of SSYT relating to shape λ\lambda of NN, giving an alternative combinatorial method to calculate irrep dimensions (Section 2).

Consider, e.g., arbitrary NN and λ=(N2,2)\lambda=(N-2,2), corresponding to the diagram

\cdots

,

with N2N-2 cells on the first row. In this two-row case, the hook lengths can be seen to be

N1\scriptstyle N-1 1 22 22 11                                                                                                          

,

where the values of the omitted cells decrease by one repeatedly. We see that the product h(i,j)=2(N1)!/(N3)\prod h(i,j)=2\cdot(N-1)!/(N-3), such that the hook length formula gives dimSλ=12N(N3)\dim{S^{\lambda}}=\frac{1}{2}N(N-3), which is the multiplicity of the m=2m=2 subspace for NN TLSs of Section 2.

Appendix B Eigenstate properties

B.1 Symmetric spectrum

Consider the n×nn\times n dimensional reduced interaction matrix AA, defined through HTC=H0+gAH_{TC}=H_{0}+gA. Let 𝐯n\mathbf{v}\in\mathbb{C}^{n} be an eigenvector, A𝐯=λ𝐯A\mathbf{v}=\lambda\mathbf{v}, where λ\lambda\in\mathbb{R} since AA is real and symmetric. Then AA and the matrix D=D1=diag(,1,1,1,1)n×nD=D^{-1}=\,\mathrm{diag}(\dots,-1,1,-1,1)_{n\times n} satisfy

DAD1=A\displaystyle DAD^{-1}=-A DA=AD,\displaystyle\Leftrightarrow DA=-AD, (49)
DHTCD1\displaystyle\Rightarrow DH_{\,\mathrm{TC}}D^{-1} =H0gA.\displaystyle=H_{0}-gA. (50)

Therefore D𝐯D\mathbf{v} must also be an eigenvector, with eigenvalue λ-\lambda, as A(D𝐯)=DA𝐯=λ(D𝐯)A(D\mathbf{v})=-DA\mathbf{v}=-\lambda(D\mathbf{v}). The spectrum of AA is therefore symmetric about zero, and as for zero detuning H0=XEc1ln×n=XETLS1ln×nH_{0}=XE_{c}1\kern-2.5pt\text{l}_{n\times n}=XE_{TLS}1\kern-2.5pt\text{l}_{n\times n}, the true spectrum is symmetric about XEc=XETLSXE_{c}=XE_{TLS}.

B.2 Average excitation contents

The TC model eigenstates form a basis for each m(X)\mathcal{H}_{m}^{(X)}, and so the average of the average excitation contents over m(X)\mathcal{H}_{m}^{(X)} is a basis-invariant quantity. We can therefore calculate the average photonic/TLS excitation content of the m(X)\mathcal{H}_{m}^{(X)} eigenstates using the bare symmetric basis αk=(δklαl)Xm+1\vec{\alpha}_{k}=(\delta_{k}^{l}\alpha_{l})_{X-m+1}. Noting that the component αk\alpha_{k} refers to photonic content kk, we find

ncm(X)\displaystyle\langle n_{c}\rangle_{\mathcal{H}_{m}^{(X)}} =1Xm+1k=0Xmαk(n^c)αk\displaystyle=\frac{1}{X-m+1}\sum_{k=0}^{X-m}\vec{\alpha}_{k}^{\dagger}(\hat{n}_{c})\vec{\alpha}_{k} (51)
=1Xm+1k=0Xmk\displaystyle=\frac{1}{X-m+1}\sum_{k=0}^{X-m}k (52)
=Xm2,\displaystyle=\frac{X-m}{2}, (53)

using the sum of the first XmX-m integers. By definition nTLSm(X)=Xncm(X)\langle n_{TLS}\rangle_{\mathcal{H}_{m}^{(X)}}=X-\langle n_{c}\rangle_{\mathcal{H}_{m}^{(X)}}, and so

nTLSm(X)\displaystyle\langle n_{TLS}\rangle_{\mathcal{H}_{m}^{(X)}} =X+m2.\displaystyle=\frac{X+m}{2}. (54)

B.3 Parity alternation

We can show that the asymptotic sign parities of the m=0m=0 irrep must alternate in increasing eigenenergies. We will prove the result in two parts, separating it into even and odd dimension of the Hilbert space.

B.3.1 Even-dimensional case

Let the asymptotic reduced interaction matrix A~2n()\tilde{A\penalty\ }\in\mathcal{M}_{2n}(\mathbb{R}), and the set {λi}i=12n\{\lambda_{i}\}_{i=1}^{2n} be its eigenvalues in increasing order. This is sensible, as A~\tilde{A\penalty\ } has a real spectrum due to it being Hermitian. By the results of Section 4, we know that the matrix decomposes into block form by the eigenvalues ±1\pm 1 of the exchange matrix JJ, as

A~\displaystyle\tilde{A\penalty\ } =A~+A~,\displaystyle=\tilde{A\penalty\ }^{+}\oplus\tilde{A\penalty\ }^{-}, (55)

where the two sub-blocks A~+,A~n()\tilde{A\penalty\ }^{+},\tilde{A\penalty\ }^{-}\in\mathcal{M}_{n}(\mathbb{R}). This must be, as tr[J2n]=0\,\mathrm{tr}[J_{2n}]=0. Consider then the natural eigenbasis of JJ

\displaystyle\mathcal{B} =+\displaystyle=\mathcal{B}^{+}\cup\mathcal{B}^{-}
={𝐰1+,,𝐰n+}{𝐰1,,𝐰n},\displaystyle=\{\mathbf{w}_{1}^{+},\dots,\mathbf{w}_{n}^{+}\}\cup\{\mathbf{w}_{1}^{-},\dots,\mathbf{w}_{n}^{-}\}, (56)

where 𝐰i±=12(𝐞i±𝐞2n+1i)\mathbf{w}_{i}^{\pm}=\frac{1}{\sqrt{2}}(\mathbf{e}_{i}\pm\mathbf{e}_{2n+1-i}), and 𝐞i2n\mathbf{e}_{i}\in\mathbb{R}^{2n} is the unit vector along the iith component in the symmetric basis. The matrix elements of A~\tilde{A\penalty\ } in the symmetric basis are (A~)ij=ckδ1|ij|δkmin{i,j}(\tilde{A\penalty\ })_{ij}=c_{k}\delta_{1}^{|i-j|}\delta_{k}^{\min{\{i,j\}}}, with ck=k(X+1k)c_{k}=\sqrt{k(X+1-k)} for X+1=2nX+1=2n and k=1,2,,2n1k=1,2,\dots,2n-1. Therefore, the matrix elements in the basis Eq. (B.3.1) are

A~𝐰i±\displaystyle\tilde{A\penalty\ }\mathbf{w}_{i}^{\pm} =12(A~𝐞i+A~𝐞2n+1i)\displaystyle=\frac{1}{\sqrt{2}}(\tilde{A\penalty\ }\mathbf{e}_{i}+\tilde{A\penalty\ }\mathbf{e}_{2n+1-i})
=12(ci1𝐞i1+ci𝐞i+1±c2ni𝐞2ni±c2n+1i𝐞2n+2i)\displaystyle=\frac{1}{\sqrt{2}}(c_{i-1}\mathbf{e}_{i-1}+c_{i}\mathbf{e}_{i+1}\pm c_{2n-i}\mathbf{e}_{2n-i}\pm c_{2n+1-i}\mathbf{e}_{2n+2-i})
=12(ci1𝐞i1+ci𝐞i+1±ci𝐞2ni±ci1𝐞2n+2i)\displaystyle=\frac{1}{\sqrt{2}}(c_{i-1}\mathbf{e}_{i-1}+c_{i}\mathbf{e}_{i+1}\pm c_{i}\mathbf{e}_{2n-i}\pm c_{i-1}\mathbf{e}_{2n+2-i})
=ci1𝐰i1±+ci𝐰i+1±,\displaystyle=c_{i-1}\mathbf{w}_{i-1}^{\pm}+c_{i}\mathbf{w}_{i+1}^{\pm}, (57)

where we used the persymmetric property c2nk=ckc_{2n-k}=c_{k}. The edge cases result in

A~𝐰1±\displaystyle\tilde{A\penalty\ }\mathbf{w}_{1}^{\pm} =c1𝐰2±,\displaystyle=c_{1}\mathbf{w}_{2}^{\pm}, (58)
A~𝐰n±\displaystyle\tilde{A\penalty\ }\mathbf{w}_{n}^{\pm} =cn1𝐰n1±±cn𝐰n±,\displaystyle=c_{n-1}\mathbf{w}_{n-1}^{\pm}\pm c_{n}\mathbf{w}_{n}^{\pm}, (59)

showing that the two parity sub-blocks are equivalent, up to a parity-dependent diagonal term A~+=A~+cn𝐞nn\tilde{A\penalty\ }^{+}=\tilde{A\penalty\ }^{-}+c_{n}\mathbf{e}_{nn} in the basis Eq. (B.3.1), where 𝐞ij\mathbf{e}_{ij} is the matrix unit.

Since A~\tilde{A\penalty\ } is Hermitian and we can write cn𝐞nn=(cn𝐞n)(cn𝐞n)c_{n}\mathbf{e}_{nn}=(\sqrt{c_{n}}\mathbf{e}_{n})\cdot(\sqrt{c_{n}}\mathbf{e}_{n})^{\dagger}, we can invoke Corollary 4.3.9 of Ref. [21] to deduce

λi(A~)λi(A~+)λi(A~),\displaystyle\lambda_{i}(\tilde{A\penalty\ }^{-})\leq\lambda_{i}(\tilde{A\penalty\ }^{+})\leq\lambda_{i}(\tilde{A\penalty\ }^{-}), (60)

where λi(M)\lambda_{i}(M) is the iith eigenvalue of the matrix MM in increasing order. But since A~=A~+A~\tilde{A\penalty\ }=\tilde{A\penalty\ }^{+}\oplus\tilde{A\penalty\ }^{-} has simple eigenvalues, the equalities cannot hold, and the parities must alternate.

B.3.2 Odd-dimensional case

Let A~2n+1()\tilde{A\penalty\ }\in\mathcal{M}_{2n+1}(\mathbb{R}), and the set {λi}i=12n+1\{\lambda_{i}\}_{i=1}^{2n+1} be its eigenvalues in increasing order. Since tr[J2n+1]=1\,\mathrm{tr}[J_{2n+1}]=1, we find the block decomposition by parities Eq. (55) with A~+2n+1()\tilde{A\penalty\ }^{+}\in\mathcal{M}_{2n+1}(\mathbb{R}) and A~2n()\tilde{A\penalty\ }^{-}\in\mathcal{M}_{2n}(\mathbb{R}). Consider the basis

\displaystyle\mathcal{B} =+\displaystyle=\mathcal{B}^{+}\cup\mathcal{B}^{-}
={𝐰1+,,𝐰n+,𝐰n+1}{𝐰1,,𝐰n},\displaystyle=\{\mathbf{w}_{1}^{+},\dots,\mathbf{w}_{n}^{+},\mathbf{w}_{n+1}\}\cup\{\mathbf{w}_{1}^{-},\dots,\mathbf{w}_{n}^{-}\}, (61)

where 𝐰i±=12(𝐞𝐢±𝐞2n+2i)\mathbf{w}_{i}^{\pm}=\frac{1}{\sqrt{2}}(\mathbf{e_{i}}\pm\mathbf{e}_{2n+2-i}), and 𝐰n+1:=21/4𝐞n+1\mathbf{w}_{n+1}:=2^{1/4}\mathbf{e}_{n+1} with 𝐞i2n+1\mathbf{e}_{i}\in\mathbb{R}^{2n+1}.

The matrix elements of A~\tilde{A\penalty\ } in the symmetric basis are (A~)ij=ckδ1|ij|δkmin{i,j}(\tilde{A\penalty\ })_{ij}=c_{k}\delta_{1}^{|i-j|}\delta_{k}^{\min{\{i,j\}}}, with ck=k(X+1k)c_{k}=\sqrt{k(X+1-k)} for X+1=2n+1X+1=2n+1 and k=1,2,,2nk=1,2,\dots,2n. Similarly to the even-dimensional case, we find

A~𝐰i±\displaystyle\tilde{A\penalty\ }\mathbf{w}_{i}^{\pm} =12(ci1𝐞i1+ci𝐞i+1±ci𝐞2n+1i±ci1𝐞2n+3i)\displaystyle=\frac{1}{\sqrt{2}}(c_{i-1}\mathbf{e}_{i-1}+c_{i}\mathbf{e}_{i+1}\pm c_{i}\mathbf{e}_{2n+1-i}\pm c_{i-1}\mathbf{e}_{2n+3-i})
=ci1𝐰i1±+ci𝐰i+1±,\displaystyle=c_{i-1}\mathbf{w}_{i-1}^{\pm}+c_{i}\mathbf{w}_{i+1}^{\pm}, (62)

with edge cases

A~𝐰1±\displaystyle\tilde{A\penalty\ }\mathbf{w}_{1}^{\pm} =c1𝐰2±,\displaystyle=c_{1}\mathbf{w}_{2}^{\pm}, (63)
A~𝐰n±\displaystyle\tilde{A\penalty\ }\mathbf{w}_{n}^{\pm} =cn1𝐰n1±+{21/4cn𝐰n+1,(+)0,()\displaystyle=c_{n-1}\mathbf{w}_{n-1}^{\pm}+\begin{cases}2^{1/4}c_{n}\mathbf{w}_{n+1},&(+)\\ 0,&(-)\end{cases} (64)
A~𝐰n+1\displaystyle\tilde{A\penalty\ }\mathbf{w}_{n+1} =21/4cn𝐰n+,\displaystyle=2^{1/4}c_{n}\mathbf{w}_{n}^{+}, (65)

where we used c2n+1k=ckc_{2n+1-k}=c_{k}. We see that both matrices A~±\tilde{A\penalty\ }^{\pm} stay tridiagonal, and that A~\tilde{A\penalty\ }^{-} is the first principal submatrix of A~+\tilde{A\penalty\ }^{+}. Since A~+\tilde{A\penalty\ }^{+} is also real and symmetric, the eigenvalues must alternate like Eq. (60) with strict inequalities according to the Cauchy interlacing theorem [38] and simplicity of the eigenvalues.

B.4 Extremal eigenstates

A calculated guess suggests that the maximal eigenstates (states with the highest eigenvalue) of the matrix A~:=limN1NA\tilde{A\penalty\ }:=\lim_{N\rightarrow\infty}\frac{1}{\sqrt{N}}A are given by the components

ξk:=|EX(X,0)k=12X(XX+1k),\displaystyle\xi_{k}:=\lvert E^{(X,0)}_{X}\rangle_{k}=\sqrt{\frac{1}{2^{X}}\binom{X}{X+1-k}}, (Re. (40))

for m=0m=0, 1kX+11\leq k\leq X+1 as shown in the main work. This conjecture is seen to be true as follows.

According to Table 4, the matrix elements of A~\tilde{A\penalty\ } are (A~)ij=c~nδ1|ij|δnmin{i,j}(\tilde{A\penalty\ })_{ij}=\tilde{c}_{n}\delta_{1}^{|i-j|}\delta_{n}^{\min{\{i,j\}}}, where c~n=n(X+1n)\tilde{c}_{n}=\sqrt{n(X+1-n)} for 1nX1\leq n\leq X. The action of A~\tilde{A\penalty\ } is then found component-wise to be: for the first component

ξ1c1ξ2\displaystyle\xi_{1}\mapsto c_{1}\xi_{2} =X12X(XX1)\displaystyle=\sqrt{X}\sqrt{\frac{1}{2^{X}}\binom{X}{X-1}}
=X2X=Xξ1,\displaystyle=\frac{X}{2^{X}}=X\xi_{1}, (66)

and for the last component

ξX+1cXξX\displaystyle\xi_{X+1}\mapsto c_{X}\xi_{X} =X(X+1X)12X(XX+1X)\displaystyle=\sqrt{X(X+1-X)}\sqrt{\frac{1}{2^{X}}\binom{X}{X+1-X}}
=X2X=XξX+1.\displaystyle=\frac{X}{2^{X}}=X\xi_{X+1}. (67)

For the intermediate components, one gets

ξk\displaystyle\xi_{k} ck1ξk1+ckξk+1\displaystyle\mapsto c_{k-1}\xi_{k-1}+c_{k}\xi_{k+1}
=12X((k1)(X+2k)(XX+2k)+k(X+1k)(XXk))\displaystyle=\frac{1}{\sqrt{2^{X}}}\left(\sqrt{(k-1)(X+2-k)\binom{X}{X+2-k}}+\sqrt{k(X+1-k)\binom{X}{X-k}}\right)
=12X((k1)(XX+1k)+(X+1k)(XX+1k))\displaystyle=\frac{1}{\sqrt{2^{X}}}\left((k-1)\sqrt{\binom{X}{X+1-k}}+(X+1-k)\sqrt{\binom{X}{X+1-k}}\right)
=12X(XX+1k)X=Xξk,\displaystyle=\sqrt{\frac{1}{2^{X}}\binom{X}{X+1-k}}X=X\xi_{k}, (68)

showing that the components ξk\xi_{k} give the eigenvector with eigenvalue XX. On the other hand, the Geršgorin disc theorem gives an upper bound for the absolute values of the eigenvalues, as the highest sum of the matrix elements on each row [21]. This sum is B:=c~k+c~k1B:=\tilde{c}_{k}+\tilde{c}_{k-1} for the kkth row, where c~k0\tilde{c}_{k}\equiv 0 for k<1k<1 and k>Xk>X. Inputting the values of c~\tilde{c} this can be further evaluated to BX2+X2=XB\leq\frac{X}{2}+\frac{X}{2}=X, giving an upper bound of XX. Therefore the state given by components ξk\xi_{k} is the maximal eigenstate.

By the calculations of Appendix B.1, the eigenstate with the eigenvalue X-X is given by DξD\vec{\xi} with components

(D)kkξk\displaystyle(D)_{kk}\xi_{k} =ξk(1)kX1,\displaystyle=\xi_{k}(-1)^{k-X-1}, (69)

for 1kX+11\leq k\leq X+1. As the ordering of the eigenstates is not affected by limN\lim_{N\rightarrow\infty}, this defines the minimal-energy eigenstate of each excitation manifold.

B.5 Transition probabilities for m=0m=0

We can use the results of Appendix B.4 to prove Eq. (41) for the limit NN\rightarrow\infty,

|ELMP(X1)|a^|ELMP(X)|2\displaystyle|\langle E^{(X-1)}_{LMP}\rvert\hat{a}\lvert E^{(X)}_{LMP}\rangle|^{2} =ELMP(X)|n^|ELMP(X)=X2,\displaystyle=\langle E^{(X)}_{LMP}\rvert\hat{n}\lvert E^{(X)}_{LMP}\rangle=\frac{X}{2},

i.e., that for the LMP states the photonic content and transition probabilities squared are equal, evaluated X/2X/2. Since the binomial coefficient is symmetric (Xk)=(XXk)\binom{X}{k}=\binom{X}{X-k}, we may write

ELMP(X)|n^|ELMP(X)\displaystyle\langle E^{(X)}_{LMP}\rvert\hat{n}\lvert E^{(X)}_{LMP}\rangle =(k=0Xξk(Nk)1{ni}i=0ke{ni}|Xk|)\displaystyle=\left(\sum_{k=0}^{X}\xi_{k}^{*}\sqrt{\binom{N}{k}^{-1}}\sum_{\{n_{i}\}_{i=0}^{k}}\langle e_{\{n_{i}\}}\rvert\langle X-k\rvert\right)
×(k=0Xξk(Nk)1{nj}j=0k|e{nj}|Xk)\displaystyle\penalty\ \penalty\ \penalty\ \times\left(\sum_{k^{\prime}=0}^{X}\xi_{k^{\prime}}\sqrt{\binom{N}{k^{\prime}}^{-1}}\sum_{\{n_{j}\}_{j=0}^{k^{\prime}}}\lvert e_{\{n_{j}\}}\rangle\lvert X-k^{\prime}\rangle\right)
=k=0X|ξk|2(Xk)\displaystyle=\sum_{k=0}^{X}|\xi_{k}|^{2}(X-k)
=k=0X12X(Xk)(Xk)=X2,\displaystyle=\sum_{k=0}^{X}\frac{1}{2^{X}}\binom{X}{k}(X-k)=\frac{X}{2}, (70)

where |e{ni}=|en0en1enk1enk\lvert e_{\{n_{i}\}}\rangle=\lvert e_{n_{0}}e_{n_{1}}\cdots e_{n_{k-1}}e_{n_{k}}\rangle in increasing order of nin_{i}.

The transition probability can be found similarly,

|ELMP(X1)|a^|ELMP(X)|2\displaystyle|\langle E^{(X-1)}_{LMP}\rvert\hat{a}\lvert E^{(X)}_{LMP}\rangle|^{2} =|(k=0X1ξk(X1)(Nk)1{nj}j=0ke{nj}|Xk|)\displaystyle=\left|\left(\sum_{k^{\prime}=0}^{X-1}\xi_{k}^{(X-1)}\sqrt{\binom{N}{k^{\prime}}^{-1}}\sum_{\{n_{j}\}_{j=0}^{k^{\prime}}}\langle e_{\{n_{j}\}}\rvert\langle X-k^{\prime}\rvert\right)\right.
×a^(k=0X1ξk(X1)(Nk)1{ni}i=0k|e{ni}|Xk)|2\displaystyle\penalty\ \penalty\ \penalty\ \times\hat{a}\left.\left(\sum_{k=0}^{X-1}\xi_{k}^{(X-1)}\sqrt{\binom{N}{k}^{-1}}\sum_{\{n_{i}\}_{i=0}^{k}}\lvert e_{\{n_{i}\}}\rangle\lvert X-k\rangle\right)\right|^{2}
=|(k,k=0Xξk(X1)ξk(X)Xk(Nk)1(Nk)1)\displaystyle=\left|\left(\sum_{k,k^{\prime}=0}^{X}\xi_{k}^{(X-1)}\xi_{k}^{(X)}\sqrt{X-k^{\prime}}\sqrt{\binom{N}{k^{\prime}}^{-1}\binom{N}{k}^{-1}}\right)\right.
×({nj},{ni}e{nj}|e{ni}Xk|Xk)|2\displaystyle\penalty\ \penalty\ \penalty\ \times\left.\left(\sum_{\{n_{j}\},\{n_{i}\}}\langle e_{\{n_{j}\}}\,|\,\mathopen{}e_{\{n_{i}\}}\rangle\langle X-k^{\prime}\,|\,\mathopen{}X-k\rangle\right)\right|^{2}
=|k=0Xξk(X1)ξk(X)Xk|2\displaystyle=\left|\sum_{k=0}^{X}\xi_{k}^{(X-1)}\xi_{k}^{(X)}\sqrt{X-k}\right|^{2}
=122X1|k=0X(Xk)(X1k)(Xk)|2\displaystyle=\frac{1}{2^{2X-1}}\left|\sum_{k=0}^{X}\sqrt{\binom{X}{k}\binom{X-1}{k}(X-k)}\right|^{2}
=122X11X|k=0X(Xk)(Xk)|2\displaystyle=\frac{1}{2^{2X-1}}\frac{1}{X}\left|\sum_{k=0}^{X}\binom{X}{k}(X-k)\right|^{2}
=122X11X|2X1X|2\displaystyle=\frac{1}{2^{2X-1}}\frac{1}{X}\left|2^{X-1}X\right|^{2}
=X2,\displaystyle=\frac{X}{2}, (71)

proving our claim.

Appendix C High-NN multiplicities

Let us inspect what happens to the multiplicity distribution Eq. (9) at the high-NN limit. Because of the hypergeometric nature of d(N,m)d(N,m), it is not obvious how the peak will move, or even if more peaks will appear. We then need to inspect this uniqueness as well. We search for the peak of the multiplicity distribution with respect to mm depending on NN. Let us first analytically continue the formula with gamma functions

d(N,m)=Γ(N+1)(N2m+1)Γ(m+1)Γ(Nm+2),\displaystyle d(N,m)=\frac{\Gamma(N+1)(N-2m+1)}{\Gamma(m+1)\Gamma(N-m+2)}, (72)

by the well known relation for integers n!=Γ(n+1)n!=\Gamma(n+1). The function is then differentiable in \mathbb{C}. We want to find the extremal point(s)

md(N,m)\displaystyle\frac{\partial}{\partial m}d(N,m) =0, 0mN/2.\displaystyle=0,\penalty\ \penalty\ 0\leq m\leq N/2\text{.} (73)

To do this, we need to be able to calculate the derivative of the gamma function. This problem can be solved using the digamma function, defined as

ψ(z)\displaystyle\psi(z) :=ddzlnΓ(z)=Γ(z)Γ(z),\displaystyle:=\frac{d}{dz}\mathrm{ln}\penalty\ \Gamma(z)=\frac{\Gamma^{{}^{\prime}}(z)}{\Gamma(z)}, (74)

where zz\in\mathbb{C} and Γ(z)=ddzΓ(z)\Gamma^{{}^{\prime}}(z)=\frac{d}{dz}\Gamma(z). We may then write

ddzΓ(z)\displaystyle\frac{d}{dz}\Gamma(z) =Γ(z)ψ(z),\displaystyle=\Gamma(z)\psi(z), (75)

defining the derivative of the gamma function [3]. The calculation then proceeds as follows:

0\displaystyle 0 =md(N,m)\displaystyle=\frac{\partial}{\partial m}d(N,m)
=Γ(N+1)m(N2m+1Γ(m+1)Γ(Nm+2))\displaystyle=\Gamma(N+1)\frac{\partial}{\partial m}\left(\frac{N-2m+1}{\Gamma(m+1)\Gamma(N-m+2)}\right)
=Γ(N+1)[2Γ(m+1)Γ(Nm+2CLOSE\displaystyle=\Gamma(N+1)\left[\frac{-2}{\Gamma(m+1)\Gamma(N-m+2}\right.
+(N2m+1)m(1Γ(m+1)Γ(Nm+2))]\displaystyle\penalty\ \penalty\ \penalty\ +\left.(N-2m+1)\frac{\partial}{\partial m}\left(\frac{1}{\Gamma(m+1)\Gamma(N-m+2)}\right)\right]
2\displaystyle\Leftrightarrow 2 =(N2m+1)f(m)f(m),\displaystyle=(N-2m+1)\frac{f^{\prime}(m)}{f(m)}, (76)

where we defined f(m):=1/Γ(m+1)Γ(Nm+2)f(m):=1/\Gamma(m+1)\Gamma(N-m+2) and f(m)=mf(m)f^{\prime}(m)=\frac{\partial}{\partial m}f(m). Now since xln(x)=1/x\frac{\partial}{\partial x}\,\mathrm{ln}(x)=1/x, we may write

1f(m)mf(m)\displaystyle\frac{1}{f(m)}\frac{\partial}{\partial m}f(m) =m[ln(1Γ(m+1)Γ(Nm+2))]\displaystyle=\frac{\partial}{\partial m}\left[\,\mathrm{ln}\left(\frac{1}{\Gamma(m+1)\Gamma(N-m+2)}\right)\right]
=m[ln(1)ln(Γ(m+1))ln(Γ(N2m+1))]\displaystyle=\frac{\partial}{\partial m}\big[\,\mathrm{ln}(1)-\,\mathrm{ln}(\Gamma(m+1))-\,\mathrm{ln}(\Gamma(N-2m+1))\big]
=m[ln(Γ(m+1))ln(Γ(N2m+1))],\displaystyle=\frac{\partial}{\partial m}\big[-\,\mathrm{ln}(\Gamma(m+1))-\,\mathrm{ln}(\Gamma(N-2m+1))\big], (77)

by standard differentiation rules. Now, by definition ψ(m)=mlnΓ(m)\psi(m)=\frac{\partial}{\partial m}\,\mathrm{ln}\penalty\ \Gamma(m) and m[lnΓ(N+(m)+2)]=(m)(lnΓ(Nm+2))=ψ(Nm+2)\frac{\partial}{\partial m}[-\,\mathrm{ln}\penalty\ \Gamma(N+(-m)+2)]=\frac{\partial}{\partial(-m)}(\,\mathrm{ln}\penalty\ \Gamma(N-m+2))=\psi(N-m+2), so we get from Eq. (C)

2N2m+1\displaystyle\frac{2}{N-2m+1} =ψ(Nm+2)ψ(m+1),\displaystyle=\psi(N-m+2)-\psi(m+1), (78)

the solution(s) of which (in terms of mm) give the extremal point(s) of d(N,m)d(N,m). This can be seen to have only one solution in the interval 0mN/20\leq m\leq N/2 as follows. Take the second derivative of Eq. (78),

ψ(Nm+2)ψ(m+1)4(N2m+1)2,\displaystyle-\psi^{\prime}(N-m+2)-\psi^{\prime}(m+1)-\frac{4}{(N-2m+1)^{2}}, (79)

where all terms (before the minus signs) are positive, such that the second derivative is strictly negative,

ψ(Nm+2)ψ(m+1)4(N2m+1)2\displaystyle-\psi^{\prime}(N-m+2)-\psi^{\prime}(m+1)-\frac{4}{(N-2m+1)^{2}} <0.\displaystyle<0. (80)

This means that the first derivative is strictly decreasing. Furthermore, since ψ(z)\psi(z) grows rapidly as NN grows, d(N,m)d(N,m) will be sharply centered near its solution. Then the edge cases of our original condition for large NN can be approximated as shown next. For m=0m=0, we can write

ψ(N+2)ψ(1)2N+1\displaystyle\psi(N+2)-\psi(1)-\frac{2}{N+1} ψ(N+2)>0,\displaystyle\approx\psi(N+2)>0, (81)

so the first derivative starts as positive. For m=N/2m=N/2, we get

ψ(N2+2)ψ(N2+1)2\displaystyle\psi\left(\frac{N}{2}+2\right)-\psi\left(\frac{N}{2}+1\right)-2
=ddN(lnΓ(N2+2)lnΓ(N2+1))2\displaystyle=\frac{d}{dN}\left(\,\mathrm{ln}\penalty\ \Gamma\left(\frac{N}{2}+2\right)-\,\mathrm{ln}\penalty\ \Gamma\left(\frac{N}{2}+1\right)\right)-2
=ddNln(Γ(N/2+2)Γ(N/2+1))2\displaystyle=\frac{d}{dN}\,\mathrm{ln}\penalty\ \left(\frac{\Gamma(N/2+2)}{\Gamma(N/2+1)}\right)-2
N2<0,\displaystyle\xrightarrow{N\rightarrow\infty}-2<0, (82)

meaning that the sign of the first derivative changes. But since the first derivative is strictly decreasing, the equation Eq. (78) must have only one solution.

Now the solution of the extremal point condition cannot be solved analytically from Eq. (78). However, we can try to find the asymptotic solution at NN\rightarrow\infty. We do this by considering the leading term of the Laurent series [46]

ψ(z)\displaystyle\psi(z) =ln(z)𝒪(z1),\displaystyle=\,\mathrm{ln}(z)-\mathcal{O}(z^{-1}), (83)

cutting off terms 𝒪(z1)\mathcal{O}(z^{-1}). At high NN we then get approximately

2N2m\displaystyle\frac{2}{N-2m} =ln(Nm)ln(m)\displaystyle=\,\mathrm{ln}(N-m)-\,\mathrm{ln}(m)
=ln(Nmm),\displaystyle=\,\mathrm{ln}\left(\frac{N-m}{m}\right), (84)

where the constant terms were ignored. For fixed mm at the high-NN limit, the left-hand side goes to zero and we get

0\displaystyle 0 =ln(Nmm)\displaystyle=\,\mathrm{ln}\left(\frac{N-m}{m}\right)
1\displaystyle\Rightarrow 1 =Nmm\displaystyle=\frac{N-m}{m}
m\displaystyle\Leftrightarrow m =N2\displaystyle=\frac{N}{2} (85)

in the leading term regime. This means that at high numbers of TLSs, the multiplicity becomes sharply peaked at the irrep Vm(X)V_{m}^{(X)} with m=N/2m=N/2. The magnitude of the numbers appearing from d(N,m)d(N,m) becomes extremely large very quickly, limiting numerical work due to memory limitations. However, normalized numerical calculations can still be done and are considered in the main work.

Appendix D Supplementary figures

For this appendix, we fix N=1000,g=0.3/NeVN=1000,g=0.3/\sqrt{N}\penalty\ \,\mathrm{eV}, and Ec=TTLS=3.0eVE_{c}=T_{TLS}=3.0\penalty\ \,\mathrm{eV}. Let the integer kk label eigenstates corresponding to a given pair (X,m)(X,m) in increasing order of energy. In Fig. 7, we present the slow-regime emission distributions for X{150,300,400,500}X\in\{150,300,400,500\}, and with the eigenstate index k[1,25]k\in[1,25] color-coded. The points for k=1k=1 follow the results of Section 4. We see that the states with k>1k>1 follow similar trends as k=1k=1, only with a delay in XX.

It is important to note that for k>1k>1, the plotted energy-DOS distribution becomes less justified as a true emission distribution. This is because in reality, different values of kk are not equally probable to emit. The system naturally tends to minimize energy, making lower values of kk more probable.

Refer to caption
Figure 7: Normalized multiplicities against emission energies for N=1000N=1000, g=0.3/NeVg=0.3/\sqrt{N}\penalty\ \,\mathrm{eV}, Ec=ETLS=3.0eVE_{c}=E_{TLS}=3.0\penalty\ \,\mathrm{eV}, X{150,300,400,500}X\in\{150,300,400,500\}, and eigenstate index 1k251\leq k\leq 25. Panels (a–c) show how energies for k>1k>1 are dominated by the k=1k=1 emission. Panel (d) shows how the k>1k>1 energies become comparable to k=1k=1, and how their distribution follows the results of the main work, with a delay in XX.

In Fig. 8, we plot the emission energy from the lowest-energy states in each irrep as a function of excitation number XX. The color encodes the symmetry index mm. The emission distribution spreads out for growing XN/2X\leq N/2 but collapses to converge towards the cavity energy EcE_{c} after X>N/2X>N/2. This is explained by the locking of the irrep dimensions after X>NmX>N-m seen in Section 2. As seen in Section 4, the full distribution becomes blue-shifted compared to the LP energy after X3N/4X\gtrsim 3N/4, with the effect only increasing for higher XX.

We see distinguishable curves forming in Fig. 8. These correspond to the energy ordering, indexed by the integer ν:=Xm=dimm(X)1\nu:=X-m=\dim{\mathcal{H}_{m}^{(X)}}-1 for X<NmX<N-m. When XNmX\geq N-m, the relevant integer is the value of mm for which the dimensional locking first occurs. This forms a trajectory on tables such as Table 1, following a diagonal with constant integer coefficient until reaching a value mm for which the dimension has locked. The trajectory then goes down with fixed mm. The insets of Fig. 8 show these curves separately for ν{3,50,200,450}\nu\in\{3,50,200,450\}. We see that the “kink” near X=N/2X=N/2 straightens out for large ν\nu. The highest energy for each XX corresponds to the inspection of m=0m=0 in Section 4. Also note that the low-mm emission peaks do not disappear at high XX, but the distribution becomes so dense that they become indistinguishable from other peaks.

Refer to caption
Figure 8: Emission energy for N=1000N=1000, g=0.3/NeVg=0.3/\sqrt{N}\penalty\ \,\mathrm{eV}, Ec=ETLS=3.0eVE_{c}=E_{TLS}=3.0\penalty\ \,\mathrm{eV}, and k=1k=1 against excitation number XX. The distribution spreads out until X>N/2X>N/2, after which it collapses to converge towards EcE_{c}. The different curves can be labeled by ν:=Xm\nu:=X-m. The insets show these curves separately for ν{3,50,200,450}\nu\in\{3,50,200,450\}, where we see the collapsing nature of the distribution weaken for higher ν\nu.