Compression of quantum shallow-circuit states

Fuente: arXiv
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Auteur principal: Yang, Yuxiang
Format: Preprint
Publié: 2024
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author Yang, Yuxiang
author_facet Yang, Yuxiang
contents Shallow quantum circuits feature not only computational advantages over their classical counterparts but also cutting-edge applications. Storing quantum information generated by shallow circuits is a fundamental question of both theoretical and practical importance that remained largely unexplored. In this work, we show that $N$ copies of an unknown $n$-qubit state generated by a fixed-depth circuit can be compressed into a hybrid memory of $O(n \log_2 N)$ (qu)bits, which achieves the optimal scaling of memory cost. Our work shows that the computational complexity of resources can significantly impact the rate of quantum information processing, offering a unique and unified view of quantum Shannon theory and quantum computing.
format Preprint
id arxiv_https___arxiv_org_abs_2404_11177
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Compression of quantum shallow-circuit states
Yang, Yuxiang
Quantum Physics
Shallow quantum circuits feature not only computational advantages over their classical counterparts but also cutting-edge applications. Storing quantum information generated by shallow circuits is a fundamental question of both theoretical and practical importance that remained largely unexplored. In this work, we show that $N$ copies of an unknown $n$-qubit state generated by a fixed-depth circuit can be compressed into a hybrid memory of $O(n \log_2 N)$ (qu)bits, which achieves the optimal scaling of memory cost. Our work shows that the computational complexity of resources can significantly impact the rate of quantum information processing, offering a unique and unified view of quantum Shannon theory and quantum computing.
title Compression of quantum shallow-circuit states
topic Quantum Physics
url https://arxiv.org/abs/2404.11177