Fast Quantum Algorithms for Trace Distance Estimation

Fuente: arXiv
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Autori principali: Wang, Qisheng, Zhang, Zhicheng
Natura: Preprint
Pubblicazione: 2023
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author Wang, Qisheng
Zhang, Zhicheng
author_facet Wang, Qisheng
Zhang, Zhicheng
contents In quantum information, trace distance is a basic metric of distinguishability between quantum states. However, there is no known efficient approach to estimate the value of trace distance in general. In this paper, we propose efficient quantum algorithms for estimating the trace distance within additive error $\varepsilon$ between mixed quantum states of rank $r$. Specifically, we first provide a quantum algorithm using $r \cdot \widetilde O(1/\varepsilon^2)$ queries to the quantum circuits that prepare the purifications of quantum states. Then, we modify this quantum algorithm to obtain another algorithm using $\widetilde O(r^2/\varepsilon^5)$ samples of quantum states, which can be applied to quantum state certification. These algorithms have query/sample complexities that are independent of the dimension $N$ of quantum states, and their time complexities only incur an extra $O(\log (N))$ factor. In addition, we show that the decision version of low-rank trace distance estimation is $\mathsf{BQP}$-complete.
format Preprint
id arxiv_https___arxiv_org_abs_2301_06783
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Fast Quantum Algorithms for Trace Distance Estimation
Wang, Qisheng
Zhang, Zhicheng
Quantum Physics
In quantum information, trace distance is a basic metric of distinguishability between quantum states. However, there is no known efficient approach to estimate the value of trace distance in general. In this paper, we propose efficient quantum algorithms for estimating the trace distance within additive error $\varepsilon$ between mixed quantum states of rank $r$. Specifically, we first provide a quantum algorithm using $r \cdot \widetilde O(1/\varepsilon^2)$ queries to the quantum circuits that prepare the purifications of quantum states. Then, we modify this quantum algorithm to obtain another algorithm using $\widetilde O(r^2/\varepsilon^5)$ samples of quantum states, which can be applied to quantum state certification. These algorithms have query/sample complexities that are independent of the dimension $N$ of quantum states, and their time complexities only incur an extra $O(\log (N))$ factor. In addition, we show that the decision version of low-rank trace distance estimation is $\mathsf{BQP}$-complete.
title Fast Quantum Algorithms for Trace Distance Estimation
topic Quantum Physics
url https://arxiv.org/abs/2301.06783