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Geometry of Free Fermion Commutants

5 Pith papers cite this work. Polarity classification is still indexing.

5 Pith papers citing it
abstract

Understanding the structure of operators that commute with $k$ identical replicas of unitary ensembles, also known as their $k$-commutants, is an important problem in quantum many-body physics with deep implications for the late-time behavior of physical quantities such as correlation functions and entanglement entropies under unitary evolution. In this work, we study the $k$-commutants of free-fermion unitary systems, which are heuristically known to contain $SO(k)$ and $SU(k)$ groups without and with particle number conservation respectively, with formal derivations of projectors onto these commutants appearing only very recently. We establish a complementary perspective by highlighting a larger $O(2k)$ replica symmetry (or $SU(2k)$ respectively) that the $k$-commutant transforms irreducibly under, which leads to a simple geometric understanding of the commutant in terms of coherent states parametrized by a Grassmannian manifold. We derive this structure by mapping the $k$-commutant to the ground state of effective ferromagnetic Heisenberg models, analogous to the ones that appear in the noisy circuit literature, which we solve exactly using standard representation theory methods. Further, we show that the Grassmannian manifold of the $k$-commutant is exactly the manifold of fermionic Gaussian states on $2k$ sites, which reveals a duality between real space and replica space in free-fermion systems. This geometric understanding also provides a compact projection formula onto the $k$-commutant, based on the resolution of identity for coherent states, which can prove advantageous in analytical calculations of averaged non-linear functionals of Gaussian states, as we demonstrate using some examples for the entanglement entropies. In all, this work provides a geometric perspective on the $k$-commutant of free-fermions that naturally connects to problems in quantum many-body physics.

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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

Unitary Designs from Doped Matchgate Circuits

quant-ph · 2026-06-22 · unverdicted · novelty 7.0

Doped matchgate circuits achieve approximate parity-preserving 2-designs in polylogarithmic depth using a sparse number of non-Gaussian gates, with the design formation mapped exactly to a birth-death Markov chain.

citing papers explorer

Showing 5 of 5 citing papers.

  • Unitary Designs from Doped Matchgate Circuits quant-ph · 2026-06-22 · unverdicted · none · ref 53 · internal anchor

    Doped matchgate circuits achieve approximate parity-preserving 2-designs in polylogarithmic depth using a sparse number of non-Gaussian gates, with the design formation mapped exactly to a birth-death Markov chain.

  • Fermionic non-Gaussianity via Bell sampling: monotones and efficient quantum algorithms quant-ph · 2026-06-03 · unverdicted · none · ref 116 · internal anchor

    Defines bridge degree monotone for fermionic non-Gaussianity from Bell-sampling eigenvalues of Lambda, shows non-increase under Gaussian protocols for stronger no-go theorems, and gives polynomial-sample tests for Gaussianity and 2-designs.

  • Computable measures of fermionic non-Gaussianity from the covariance matrix quant-ph · 2026-07-02 · unverdicted · none · ref 91 · internal anchor

    Introduces occupation number entropies (Tsallis) and natural-orbital participation entropies (Renyi) as computable convex resource monotones for fermionic non-Gaussianity from the covariance matrix.

  • Coherence dynamics in quantum many-body systems with conservation laws quant-ph · 2026-04-25 · unverdicted · none · ref 130 · internal anchor

    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.

  • Lecture Notes on Replica Tensor Networks for Random Quantum Circuits quant-ph · 2026-05-11 · unverdicted · none · ref 93 · internal anchor

    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.