An autoregressive sampler draws Pauli strings sequentially from computable conditionals to enable linear-cost fidelity estimation for random matrix product states, with a grouped commuting extension to lower variance.
Perez-Garcia, F
2 Pith papers cite this work. Polarity classification is still indexing.
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quant-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
The paper derives necessary and sufficient conditions for emergent quantum dynamics as a Bayesian inference problem, validates them via semidefinite programming in paradigmatic cases, and defines a new robustness measure against noise.
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Verifying random matrix product states with autoregressive local measurements
An autoregressive sampler draws Pauli strings sequentially from computable conditionals to enable linear-cost fidelity estimation for random matrix product states, with a grouped commuting extension to lower variance.
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Emergent Quantum Dynamics as a Bayesian Inference Problem: A Critical Analysis
The paper derives necessary and sufficient conditions for emergent quantum dynamics as a Bayesian inference problem, validates them via semidefinite programming in paradigmatic cases, and defines a new robustness measure against noise.