Group-theoretic treatment of strong light–matter coupling with an arbitrary number of excitations
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
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 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 () and excitations (), 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 -dependence from the computational task [12, 11, 32]. Along with the well-known decomposition of the Hilbert space into excitation manifolds defined by fixed [12], diagonalizing the system is reduced to solving a set of matrices with dimensions , in cardinality of the same order. This approach has been used to probe the structure and dynamics of manifolds beyond the ubiquitous 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 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 and .
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 . We are also able to discuss why the well-established theory works so well with experimental results.
2 The model
2.1 Structure theory
The TC Hamiltonian describing a system of two-level systems (TLSs) coupled uniformly to a single electromagnetic mode can be written under the RWA as , where
| (1) | ||||
| (2) |
with being the collective spin lowering operator for TLSs. Under the RWA, the Hamiltonian commutes with the total excitation number operator , meaning that the total excitation number is conserved. This allows one to separate the Hilbert space into an infinite sum of finite-dimensional excitation manifolds according to the eigenvalue , as
| (3) |
where in reality the occupied Hilbert space is limited by some 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
| (4) | ||||
| (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 . This allows for a natural action of the Lie algebra on the individual TLS spaces, and of the symmetric group on the tensor power of TLSs. One can then decompose the system into irreps of the symmetric group. With uniform coupling constant , the Hamiltonian is invariant under the action of 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 under joint labels , which correspond to Young diagrams of or equivalently weights (spins) of the Lie group . The cooperation number or total spin is the usual eigenvalue of the Casimir operator of [25]. The “2” of limits the number of rows of the considered Young diagrams (Appendix A) so that we can write , where 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 (for odd , ). Each excitation manifold then further decomposes into irreps as
| (6) |
where is an irrep of , is an irrep of , connects the Young diagrams and weights of , and is the multiplicity of the irrep , given by the dimension of the corresponding irrep of the symmetric group [37]. The block-diagonal TC Hamiltonian of each manifold can then be written as
| (7) |
where each submatrix is repeated times. Due to the combinatorial nature of the symmetric group, the integer is further limited by the number of excited TLSs being permuted among ground-state TLSs. The maximum value of within an excitation manifold is therefore
| (8) |
2.2 Dimension formulas
The dimensions of the irreps follow the integer dimension of the weight spaces of , given by and as
| (9) |
where , using the composite spin quantum number . If , . Since is the dimension of the irrep of weight , it must be the maximal dimension of each . The irreps are then repeated times. The dimension of the irrep is famously given by the Hook length formula, a combinatorial formula calculated using “hook lengths” of a Young diagram of shape (see Appendix A). For two rows, this formula can be written analytically as
| (10) |
Combining the last two equations and writing out the binomial coefficient, one gets the dimension formula
| (11) |
The excitation number limits the dimension from above to , resulting in the minimum between the two values. This dimensional structure is presented in Table 1 for . 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 for and . Panels (a–d) show the high- regions in linear scale, while the entire range of for is considered in (e), with the dimension plotted in logarithmic scale. We see that the irrep maximal in holds the highest multiplicity up to , after which the dimensions approach a Poissonian-like distribution near the high- side of the distribution. We also see that the low- irreps become comparably insignificant in multiplicity, and that the multiplicity of the irrep approaches zero as .
The structure can be easily understood by comparing to the usual case. The representation is two-dimensional with multiplicity , and is one-dimensional with multiplicity . This is the well-known case of the upper polariton (UP), lower polariton (LP), and dark states [24]. The case has also been previously studied [44, 11]. As we will show in the next section, one can identify the subspace as multipolaritons [7] and as dark states (). 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- irreps might become statistically relevant [39, 28].
| 0 | 1 | 1 | ||||
| 1 | 2 | 10 | ||||
| 2 | 3 | 46 | ||||
| 3 | 4 | 130 | ||||
| 4 | 5 | 256 | ||||
| 5 | 6 | 382 | ||||
| 6 | 7 | 466 | ||||
| 7 | 8 | 502 | ||||
| 8 | 9 | 511 | ||||
| 9 | 10 | 512 |
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
| (12) | ||||
| (13) |
leading to the UP, LP, and dark states
| (14) | ||||
| (15) | ||||
| (16) |
with the (first-order) Hopfield coefficients and eigenvalues satisfying
| (17) | ||||
| (18) | ||||
| (19) |
The dark states naturally carry the eigenvalue and we have denoted . For the rest of this paper, we focus on the resonant case of . 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 manifold, a new irrep becomes available for , leading to the Hamiltonian decomposition [11]
| (20) |
with the values of corresponding to multipolaritons, dark polaritons, and dark states, respectively. These correspond to eigenstates of the form
| (21) | ||||
| (22) | ||||
| (23) | ||||
| (24) |
where refers to the th eigenstate (in increasing energy) within the th manifold and th irrep, with indexing equivalent states of given multiplicity. These states correspond to the eigenenergies and (second-order) Hopfield coefficients
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 and 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 , where and are index sets. These are determined by the action of the Young symmetrizer on the -TLS states [37, 48, 18]. Let us denote arbitrary vector form states of in this basis as
| (26) |
where is the amplitude of a symmetric state with photonic excitations, for example
| (27) |
By orthogonality of the irreps, one finds that the symmetric coefficients obey
| (28) | ||||
| (29) | ||||
| (30) |
where , and , and are index sets of finite order, with and , the latter being the number of atomic excitations present. We further explicitly define 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 , the free Hamiltonian is a scalar matrix , and so the eigenvalues and eigenvectors of the system depend only on those of the rescaled interaction matrix
| (31) |
where . If the original eigenvalue equation of the TC Hamiltonian reads , we have reduced the problem to solving the eigenvalues of , , where .
Let us then find the matrix elements of . Consider the two terms of the interaction Hamiltonian, and , acting on bare states of the type , where , and . The cavity operators operating on the bare states simply correspond to factors of . For the input state and output state , states can transform into , so leaves a factor of . Similarly for input state and output state , of states can transform into , leaving a factor of . 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 , , and . If we apply the results of Table 2 on the symmetric basis and note that the off-diagonal sequences contain terms, we find that the matrix elements are and for the sub- and superdiagonal sequences with values given in Table 3.
| Operator | Input state | Output state |
|---|---|---|
| Shared cavity term | Subdiagonal term | Superdiagonal term |
|---|---|---|
The Hamiltonian is diagonalizable and Hermitian and therefore symmetric and real in some basis [ in Eq. (3.1)]. This coincides with the properly normalized basis, and the proper matrix can be found recursively: The matrix carrying the basis transformation is diagonal, and the first element is . The second element is , comprising of the square roots of the first terms in the sub- and superdiagonal sequences. The rest are then determined recursively as . The new matrix element coefficients are of the form , where the cofactors represent normalization (), cavity (), and TLS (matter, ) contributions. The matrix elements are presented in Table 4.
| Cavity term | TLS term | Normalization term |
|---|---|---|
As a real symmetric tridiagonal matrix, 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 , it is easy to see that and anticommute, so the spectrum of is symmetric about zero (see Appendix B.1). A direct corollary is that is an eigenvalue for , and that one has to solve only one half of the spectrum, allowing for significant numerical optimization. As restricts only the length of the matrix element sequence above—within a given excitation manifold—the matrix corresponding to is a principal submatrix of that of . It follows from the Cauchy interlacing theorem that the eigenvalues of and alternate [38]. Starting recursively from , it follows that 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 by and , a Geršgorin bound of 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 , the eigenvectors , their probability amplitudes squared , average photonic content , and average TLS excitation content . These quantities are presented in Table 5 for , where we omit writing the indices where it does not cause confusion. The vector components have convergent -dependence, strong already at realistic values of , so we have calculated 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 . While it may be possible, an analytical expression for general , , and seems to be highly non-trivial to find. The properties of 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 of against their multiplicities for and . The color encodes the symmetry index . Panels (a–c) are in logarithmic scale and . Panels (d–f) are in linear scale and . Recall that corresponds to multipolaritons and to dark states, with maximal and minimal , respectively.
We see that the statistical relevance of differing energies centers near the dark states. This effect is countered by the fact that lower- 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 due to the symmetric spectrum, although this is perturbed by the detuning, i.e., [44].
Note that the multiplicities grow considerably between panels. This growth is stunted after 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 irreps define the TLS excitation content of the eigenstates, dark states must disappear after this limit, with new excitations going to the cavity.
| 1 | 1 | |||
| 1 | 1 | |||
| 1 | 1 | |||
| , | ||||
The center of the true eigenvalues is , and so the difference between manifold centers is . However, the bounds of the spectra grow proportional to , and numerical calculations suggest that the latter factor is in the order of . This means that in the full energy spectrum of the TC model, the excitation manifolds start to overlap. For the approximate values of and [2], we can estimate the overlap by
| (32) |
giving the following values of for fixed ,
| (33) | ||||
| (34) |
understandable through the increasing Rabi split with growing . 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 and .
We see from Table 5 that the photonic and TLS excitation contents follow approximately the patterns
| (35) | ||||
| (36) |
The averages of the contents over the irreps 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 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 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 [32]. This limit is reasonable, as the diverging is balanced by the coupling strength decreasing with growing .
Noting that for , , it can be seen that
| (37) |
and so and are simultaneously diagonalizable, meaning that they have the same eigenstates at high . These are the eigenstates in Table 5. The new matrix is much easier to solve, and it carries additional properties. For it is persymmetric, i.e., symmetric with respect to the anti-diagonal. Since is also symmetric, this is quantified as commuting with the exchange matrix . This commutation makes the eigenstates of those of also, with eigenvalues , giving the interpretation of a parity operator, where each eigenstate is labeled by an integer
| (38) |
Component-wise, this means that the eigenstate components are (anti-)symmetric about the middle component depending on the parity . 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 and 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 , meaning that the strict parity of the high 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]
| (39) |
These operators conserve the cooperation number , and so is also conserved (same applies for and ). This means that the dynamics generated by Eq. (39) must be restricted within subspaces of the same irrep. For example, subsequent instances of emission () will drive all the dark polaritons to dark states. This can be disturbed by symmetry-breaking processes, such as dephasing generated by, e.g., .
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 with eigenvalues are given by the components
| (40) |
for . On the other hand, Geršgorin discs give an upper bound of for the eigenvalues, meaning that this is the maximal eigenstate. Because the spectrum is symmetric, the minimum energy is with the eigenstate , i.e., the lowest multipolariton (LMP). A direct calculation in Appendix B.5 shows that these states have excitation contents , equaling to the matrix element contributing to the radiative transition probability
| (41) |
It can be further seen that the span of lowest-energy eigenstates is closed under . 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
| (42) |
where equality holds if and only if , showing the claim by orthogonality of the eigenstates. By taking Hermitian conjugates of the above equations, one reaches the same result for ,
| (43) | ||||
| (44) |
Next, we will consider three types of processes: emission , symmetry-preserving (or -conserving) processes , and symmetry-breaking processes . If we decompose a general density operator under the irrep structure, , these quantum channels can be written as follows.
| (45) | ||||
| (46) |
where and are restrictions of and to , and is the state space corresponding to the excitation manifold . The emission channel is given by Eq. (43). An example of could be Lindbladians generated by or , and an example of could be total TLS dephasing generated by the Pauli operator .
A physically allowed channel has the Kraus representation , corresponding to the Markovian master equation [4]
| (47) |
where is the channel’s rate. Let the rates , and correspond to the above channels. In the following subsections, we will restrict to two regimes, defined by the magnitude of compared to the others: the “slow” regime with and the “fast” regime with . In Fig. 4, we visualize these processes in a schematic picture of the structure theory.
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 -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 . 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 between the lowest-energy states of each irrep against normalized multiplicities (DOS) for different values of . Again, the color encodes the symmetry index . Energies adjacent in are connected by interpolating lines. In all panels, we see that the peaks are extremely dense at low , panel (c) having over half of the peaks above the LP energy, indicated by the dashed line. Panels (a–c) show that as grows up to , the emission maximum shifts to higher energies, and the total distribution approaches a Poissonian-like form with a maximum red-shifted from the 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 , , and , and negative energies should be interpreted as absorption.
Panels (d–f) show that when , the high- emission energies jump near the cavity energy, indicated by the dotted line. When still keeps increasing, all the peaks shift closer to the cavity, indicating a loss of light–matter hybridization at saturated excitation densities [20]. After , all of the energies overtake the LP energy, indicating blue shift. At the high- limit, all the energies collapse on the emission, forming a sharp peak approaching . 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 -conserving rates comparable to emission.
4.4 Emission energies in the fast dephasing regime
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 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 for . Panel (a) shows a sublinear blue shift of the emission for . This behavior is extremely stable under changing . The inset shows how the emission changes for different , , indicating further reduction of this -dependence at higher values of . Panel (b) shows how the emission behavior changes after , i.e., when the irrep dimension gets locked (see Section 2); the emission peak approaches 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 , as the multiplicity approaches a sharp peak at for (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 model works so well for modeling observed spectra. For moderate excitation densities, the emission peak stays very close to . Small discrepancies from the 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 -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 . 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 LP emission, showing why the widely used model fits to experimental data despite its simplicity. Finally, the structure was shown to saturate at excitation numbers , 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 cells, with given shape defined by a partition of , , where . It is common to list the parts of the partition in decreasing order. For example, the Young diagram corresponding to and is in English notation
.
Two different definitions are used, English or French notation, differing only in the order of the parts , 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 symbols to get a Young tableau. This labeling is in a sense arbitrary, and can be fixed to be the integers . The canonical labeling is the one with natural ordering of the numbers from the top left row-wise, for example for the diagram above
.
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
.
Following the convention of (weakly) decreasing parts of partition , the number of cells on each row must be non-increasing. For example for , all the diagrams considered are
, , , , .
The number of SYTs with 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 is also known, and it is given by the famous hook length formula [37]. The hook length of a cell is the number of cells directly below and to the right of the cell at th row and th 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
| (48) |
where is the number of cells and is an irrep of [19]. As mentioned above, this quantity is equal to the number of SSYT relating to shape of , giving an alternative combinatorial method to calculate irrep dimensions (Section 2).
Consider, e.g., arbitrary and , corresponding to the diagram
,
with cells on the first row. In this two-row case, the hook lengths can be seen to be
1
,
where the values of the omitted cells decrease by one repeatedly. We see that the product , such that the hook length formula gives , which is the multiplicity of the subspace for TLSs of Section 2.
Appendix B Eigenstate properties
B.1 Symmetric spectrum
Consider the dimensional reduced interaction matrix , defined through . Let be an eigenvector, , where since is real and symmetric. Then and the matrix satisfy
| (49) | ||||
| (50) |
Therefore must also be an eigenvector, with eigenvalue , as . The spectrum of is therefore symmetric about zero, and as for zero detuning , the true spectrum is symmetric about .
B.2 Average excitation contents
The TC model eigenstates form a basis for each , and so the average of the average excitation contents over is a basis-invariant quantity. We can therefore calculate the average photonic/TLS excitation content of the eigenstates using the bare symmetric basis . Noting that the component refers to photonic content , we find
| (51) | ||||
| (52) | ||||
| (53) |
using the sum of the first integers. By definition , and so
| (54) |
B.3 Parity alternation
We can show that the asymptotic sign parities of the 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 , and the set be its eigenvalues in increasing order. This is sensible, as 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 of the exchange matrix , as
| (55) |
where the two sub-blocks . This must be, as . Consider then the natural eigenbasis of
| (56) |
where , and is the unit vector along the th component in the symmetric basis. The matrix elements of in the symmetric basis are , with for and . Therefore, the matrix elements in the basis Eq. (B.3.1) are
| (57) |
where we used the persymmetric property . The edge cases result in
| (58) | ||||
| (59) |
showing that the two parity sub-blocks are equivalent, up to a parity-dependent diagonal term in the basis Eq. (B.3.1), where is the matrix unit.
Since is Hermitian and we can write , we can invoke Corollary 4.3.9 of Ref. [21] to deduce
| (60) |
where is the th eigenvalue of the matrix in increasing order. But since has simple eigenvalues, the equalities cannot hold, and the parities must alternate.
B.3.2 Odd-dimensional case
Let , and the set be its eigenvalues in increasing order. Since , we find the block decomposition by parities Eq. (55) with and . Consider the basis
| (61) |
where , and with .
The matrix elements of in the symmetric basis are , with for and . Similarly to the even-dimensional case, we find
| (62) |
with edge cases
| (63) | ||||
| (64) | ||||
| (65) |
where we used . We see that both matrices stay tridiagonal, and that is the first principal submatrix of . Since 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 are given by the components
| (Re. (40)) |
for , as shown in the main work. This conjecture is seen to be true as follows.
According to Table 4, the matrix elements of are , where for . The action of is then found component-wise to be: for the first component
| (66) |
and for the last component
| (67) |
For the intermediate components, one gets
| (68) |
showing that the components give the eigenvector with eigenvalue . 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 for the th row, where for and . Inputting the values of this can be further evaluated to , giving an upper bound of . Therefore the state given by components is the maximal eigenstate.
By the calculations of Appendix B.1, the eigenstate with the eigenvalue is given by with components
| (69) |
for . As the ordering of the eigenstates is not affected by , this defines the minimal-energy eigenstate of each excitation manifold.
B.5 Transition probabilities for
We can use the results of Appendix B.4 to prove Eq. (41) for the limit ,
i.e., that for the LMP states the photonic content and transition probabilities squared are equal, evaluated . Since the binomial coefficient is symmetric , we may write
| (70) |
where in increasing order of .
The transition probability can be found similarly,
| (71) |
proving our claim.
Appendix C High- multiplicities
Let us inspect what happens to the multiplicity distribution Eq. (9) at the high- limit. Because of the hypergeometric nature of , 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 depending on . Let us first analytically continue the formula with gamma functions
| (72) |
by the well known relation for integers . The function is then differentiable in . We want to find the extremal point(s)
| (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
| (74) |
where and . We may then write
| (75) |
defining the derivative of the gamma function [3]. The calculation then proceeds as follows:
| (76) |
where we defined and . Now since , we may write
| (77) |
by standard differentiation rules. Now, by definition and , so we get from Eq. (C)
| (78) |
the solution(s) of which (in terms of ) give the extremal point(s) of . This can be seen to have only one solution in the interval as follows. Take the second derivative of Eq. (78),
| (79) |
where all terms (before the minus signs) are positive, such that the second derivative is strictly negative,
| (80) |
This means that the first derivative is strictly decreasing. Furthermore, since grows rapidly as grows, will be sharply centered near its solution. Then the edge cases of our original condition for large can be approximated as shown next. For , we can write
| (81) |
so the first derivative starts as positive. For , we get
| (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 . We do this by considering the leading term of the Laurent series [46]
| (83) |
cutting off terms . At high we then get approximately
| (84) |
where the constant terms were ignored. For fixed at the high- limit, the left-hand side goes to zero and we get
| (85) |
in the leading term regime. This means that at high numbers of TLSs, the multiplicity becomes sharply peaked at the irrep with . The magnitude of the numbers appearing from 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 , and . Let the integer label eigenstates corresponding to a given pair in increasing order of energy. In Fig. 7, we present the slow-regime emission distributions for , and with the eigenstate index color-coded. The points for follow the results of Section 4. We see that the states with follow similar trends as , only with a delay in .
It is important to note that for , the plotted energy-DOS distribution becomes less justified as a true emission distribution. This is because in reality, different values of are not equally probable to emit. The system naturally tends to minimize energy, making lower values of more probable.
In Fig. 8, we plot the emission energy from the lowest-energy states in each irrep as a function of excitation number . The color encodes the symmetry index . The emission distribution spreads out for growing but collapses to converge towards the cavity energy after . This is explained by the locking of the irrep dimensions after seen in Section 2. As seen in Section 4, the full distribution becomes blue-shifted compared to the LP energy after , with the effect only increasing for higher .
We see distinguishable curves forming in Fig. 8. These correspond to the energy ordering, indexed by the integer for . When , the relevant integer is the value of 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 for which the dimension has locked. The trajectory then goes down with fixed . The insets of Fig. 8 show these curves separately for . We see that the “kink” near straightens out for large . The highest energy for each corresponds to the inspection of in Section 4. Also note that the low- emission peaks do not disappear at high , but the distribution becomes so dense that they become indistinguishable from other peaks.