Haar-random and pretty good measurements for Bayesian state estimation

Fuente: arXiv
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1. Verfasser: Quadeer, Maria
Format: Preprint
Veröffentlicht: 2023
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author Quadeer, Maria
author_facet Quadeer, Maria
contents We study Haar-random bases and pretty good measurement for Bayesian state estimation. Given $N$ Haar-random bases we derive a bound on fidelity averaged over IID sequences of such random measurements for a uniform ensemble of pure states. For ensembles of mixed qubit states, we find that measurements defined through unitary 2-designs closely approximate those defined via Haar random unitaries while the Pauli group only gives a weak lower bound. For a single-shot-update, we show using the Petz recovery map for pretty good measurement that it can give pretty good Bayesian mean estimates.
format Preprint
id arxiv_https___arxiv_org_abs_2310_20565
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Haar-random and pretty good measurements for Bayesian state estimation
Quadeer, Maria
Quantum Physics
Mathematical Physics
We study Haar-random bases and pretty good measurement for Bayesian state estimation. Given $N$ Haar-random bases we derive a bound on fidelity averaged over IID sequences of such random measurements for a uniform ensemble of pure states. For ensembles of mixed qubit states, we find that measurements defined through unitary 2-designs closely approximate those defined via Haar random unitaries while the Pauli group only gives a weak lower bound. For a single-shot-update, we show using the Petz recovery map for pretty good measurement that it can give pretty good Bayesian mean estimates.
title Haar-random and pretty good measurements for Bayesian state estimation
topic Quantum Physics
Mathematical Physics
url https://arxiv.org/abs/2310.20565