New Quantum Algorithms for Computing Quantum Entropies and Distances

被引:3
作者
Wang, Qisheng [1 ,2 ]
Guan, Ji [3 ,4 ]
Liu, Junyi [4 ,5 ]
Zhang, Zhicheng [6 ]
Ying, Mingsheng [6 ]
机构
[1] Tsinghua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China
[2] Nagoya Univ, Grad Sch Math, Nagoya 4648602, Japan
[3] Chinese Acad Sci, Key Lab Syst Software, Beijing 100190, Peoples R China
[4] Chinese Acad Sci, Inst Software, State Key Lab Comp Sci, Beijing 100190, Peoples R China
[5] Univ Maryland, Joint Ctr Quantum Informat & Comp Sci, College Pk, MD 20742 USA
[6] Univ Technol Sydney, Ctr Quantum Soft ware & Informat, Sydney, NSW 2007, Australia
关键词
Quantum state; Quantum algorithm; Entropy; Quantum computing; Complexity theory; Computational modeling; Time complexity; quantum algorithms; quantum entropy; trace distance; quantum fidelity; TESTING PROPERTIES; DISTRIBUTIONS; EQUATIONS; FIDELITY;
D O I
10.1109/TIT.2024.3399014
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We propose a series of quantum algorithms forcomputing a wide range of quantum entropies and distances,including the von Neumann entropy, quantum R & eacute;nyi entropy,trace distance, and fidelity. The proposed algorithms significantlyoutperform the prior best (and even quantum) ones in thelow-rank case, some of which achieve exponential speedups.In particular, forN-dimensional quantum states of rankr, ourproposed quantum algorithms for computing the von Neumannentropy, trace distance and fidelity within additive error epsilon havetime complexity of O(r/epsilon(2)), O(r(5)/epsilon(6))and O(r(6.5)/epsilon(7.5)),respectively. By contrast, prior quantum algorithms for the vonNeumann entropy and trace distance usually have time complex-ity ohm (N), and the prior best one for fidelity has time complexity O(r(12.5)/epsilon(13.5)). The key idea of our quantum algorithms isto extend block-encoding from unitary operators in previouswork to quantum states (i.e., density operators). It is realized bydeveloping several convenient techniques to manipulate quantumstates and extract information from them. The advantage of ourtechniques over the existing methods is that no restrictions ondensity operators are required; in sharp contrast, the previousmethods usually require a lower bound on the minimal non-zeroeigenvalue of density operators
引用
收藏
页码:5653 / 5680
页数:28
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