Estimating many properties of a quantum state via quantum reservoir processing

Fuente: arXiv
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Hauptverfasser: Li, Yinfei, Ghosh, Sanjib, Shang, Jiangwei, Xiong, Qihua, Zhang, Xiangdong
Format: Preprint
Veröffentlicht: 2023
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author Li, Yinfei
Ghosh, Sanjib
Shang, Jiangwei
Xiong, Qihua
Zhang, Xiangdong
author_facet Li, Yinfei
Ghosh, Sanjib
Shang, Jiangwei
Xiong, Qihua
Zhang, Xiangdong
contents Estimating properties of a quantum state is an indispensable task in various applications of quantum information processing. To predict properties in the post-processing stage, it is inherent to first perceive the quantum state with a measurement protocol and store the information acquired. In this work, we propose a general framework for constructing classical approximations of arbitrary quantum states with quantum reservoirs. A key advantage of our method is that only a single local measurement setting is required for estimating arbitrary properties, while most of the previous methods need exponentially increasing number of measurement settings. To estimate $M$ properties simultaneously, the size of the classical approximation scales as $\ln M$ . Moreover, this estimation scheme is extendable to higher-dimensional systems and hybrid systems with non-identical local dimensions, which makes it exceptionally generic. We support our theoretical findings with extensive numerical simulations.
format Preprint
id arxiv_https___arxiv_org_abs_2305_06878
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Estimating many properties of a quantum state via quantum reservoir processing
Li, Yinfei
Ghosh, Sanjib
Shang, Jiangwei
Xiong, Qihua
Zhang, Xiangdong
Quantum Physics
Estimating properties of a quantum state is an indispensable task in various applications of quantum information processing. To predict properties in the post-processing stage, it is inherent to first perceive the quantum state with a measurement protocol and store the information acquired. In this work, we propose a general framework for constructing classical approximations of arbitrary quantum states with quantum reservoirs. A key advantage of our method is that only a single local measurement setting is required for estimating arbitrary properties, while most of the previous methods need exponentially increasing number of measurement settings. To estimate $M$ properties simultaneously, the size of the classical approximation scales as $\ln M$ . Moreover, this estimation scheme is extendable to higher-dimensional systems and hybrid systems with non-identical local dimensions, which makes it exceptionally generic. We support our theoretical findings with extensive numerical simulations.
title Estimating many properties of a quantum state via quantum reservoir processing
topic Quantum Physics
url https://arxiv.org/abs/2305.06878