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Quantum Physics

arXiv:2604.27049 (quant-ph)
[Submitted on 29 Apr 2026 (v1), last revised 20 Aug 2026 (this version, v3)]

Title:Non-Local Magic Resources for Fermionic Gaussian States

Authors:Daniele Iannotti, Beatrice Magni, Riccardo Cioli, Alioscia Hamma, Xhek Turkeshi
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Abstract:Entanglement and magic are fundamental resources that capture the complexity of quantum many-body systems. Non-local magic isolates the irreducible nonstabilizerness intrinsically tied to entanglement. However, evaluating this quantity generally requires a prohibitive minimization over the full Hilbert space, making it computationally inaccessible beyond a few qubits. Here, we overcome this bottleneck by establishing a closed-form expression for the non-local stabilizer entropies of fermionic Gaussian states over local Gaussian unitaries, which we prove at Rényi index $\alpha=2$ for arbitrary subsystem size, and which can be evaluated in polynomial time directly from the eigenvalues of the reduced Majorana covariance matrix. We apply this framework to characterize fermionic non-local magic across diverse physical regimes: we derive an exact Page-like curve for typical random states, reveal logarithmic scaling at the quantum critical point of the XY model, and establish a quasiparticle picture for magic generation during out-of-equilibrium quantum quenches. Crucially, because our result relies solely on two-point correlation functions, it provides a scalable route for the experimental estimation of fermionic non-local magic in large-scale quantum processors via fermionic shadow tomography.
Comments: 27 pages, 12 figures; Proof addition of the main result
Subjects: Quantum Physics (quant-ph); Statistical Mechanics (cond-mat.stat-mech)
Cite as: arXiv:2604.27049 [quant-ph]
  (or arXiv:2604.27049v3 [quant-ph] for this version)
  https://doi.org/10.48550/arXiv.2604.27049
arXiv-issued DOI via DataCite

Submission history

From: Daniele Iannotti [view email]
[v1] Wed, 29 Apr 2026 18:00:00 UTC (542 KB)
[v2] Mon, 6 Jul 2026 10:30:06 UTC (544 KB)
[v3] Thu, 20 Aug 2026 17:16:21 UTC (565 KB)
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