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5 Pith papers citing it

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quant-ph 5

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2026 5

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UNVERDICTED 5

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representative citing papers

Nonlocal nonstabilizerness in free fermion models

quant-ph · 2026-04-29 · unverdicted · novelty 7.0

Nonlocal magic in fermionic Gaussian states is bounded by the entanglement spectrum of the covariance matrix, is extensive in the Haar ensemble, peaks at criticality in the Kitaev chain, and grows diffusively under random circuits.

Geometry of Free Fermion Commutants

quant-ph · 2026-04-06 · unverdicted · novelty 6.0

The k-commutant of free fermions is the Grassmannian manifold of fermionic Gaussian states on 2k sites, exposing a real-replica space duality.

citing papers explorer

Showing 5 of 5 citing papers.

  • Nonlocal nonstabilizerness in free fermion models quant-ph · 2026-04-29 · unverdicted · none · ref 65

    Nonlocal magic in fermionic Gaussian states is bounded by the entanglement spectrum of the covariance matrix, is extensive in the Haar ensemble, peaks at criticality in the Kitaev chain, and grows diffusively under random circuits.

  • Non-Local Magic Resources for Fermionic Gaussian States quant-ph · 2026-04-29 · unverdicted · none · ref 58

    Closed-form formula computes non-local magic for fermionic Gaussian states from two-point correlations in polynomial time.

  • Coherence dynamics in quantum many-body systems with conservation laws quant-ph · 2026-04-25 · unverdicted · none · ref 129

    Conservation laws in quantum circuits and Hamiltonians replace logarithmic coherence saturation with slow hydrodynamic relaxation globally and produce algebraic peak-time growth locally, unlike ergodic cases.

  • Geometry of Free Fermion Commutants quant-ph · 2026-04-06 · unverdicted · none · ref 40

    The k-commutant of free fermions is the Grassmannian manifold of fermionic Gaussian states on 2k sites, exposing a real-replica space duality.

  • Lecture Notes on Replica Tensor Networks for Random Quantum Circuits quant-ph · 2026-05-11 · unverdicted · none · ref 91

    Lecture notes and accompanying library teach replica tensor network methods to compute circuit-averaged observables in random quantum circuits by mapping them to classical statistical mechanics models.