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Unitary $n$-designs via random quenches in atomic Hubbard and Spin models: Application to the measurement of R\'enyi entropies

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arxiv 1801.00999 v2 pith:3W7G5VTO submitted 2018-01-03 quant-ph cond-mat.quant-gas

classification quant-phcond-mat.quant-gas
keywords atomicmodelsrandomspinapplicationdesignsentropiesenyi
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abstract

We present a general framework for the generation of random unitaries based on random quenches in atomic Hubbard and spin models, forming approximate unitary $n$-designs, and their application to the measurement of R\'enyi entropies. We generalize our protocol presented in [Elben2017: arXiv:1709.05060, to appear in Phys. Rev. Lett.] to a broad class of atomic and spin lattice models. We further present an in-depth numerical and analytical study of experimental imperfections, including the effect of decoherence and statistical errors, and discuss connections of our approach with many-body quantum chaos.

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  1. Quantum Utility-Scale Error Mitigation for Quantum Quench Dynamics in Heisenberg Spin Chains

    quant-ph 2025-06 conditional novelty 4.0 of 10

    On IBM quantum processors, self-mitigation corrects noisy Trotterized quench dynamics of Heisenberg spin chains (up to 104 qubits, over 3,000 CNOT gates) more accurately and stably than zero-noise extrapolation.

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