Abstract

Quantum state verification provides an efficient approach to characterize the reliability of quantum devices for generating certain target states. The figure of merit of a specific strategy is the estimated infidelity ϵ of the tested state to the target state, given a certain number of performed measurements n. Entangled measurements constitute the globally optimal strategy and achieve the scaling that ϵ is inversely proportional to n. Recent advances show that it is possible to achieve the same scaling simply with non-adaptive local measurements; however, the performance is still worse than the globally optimal bound up to a constant factor. In this work, by introducing classical communication, we experimentally implement an adaptive quantum state verification. The constant factor is minimized from ~2.5 to 1.5 in this experiment, which means that only 60% measurements are required to achieve a certain value of ϵ compared to optimal non-adaptive local strategy. Our results indicate that classical communication significantly enhances the performance of quantum state verification, and leads to an efficiency that further approaches the globally optimal bound.

Details

Title
Classical communication enhanced quantum state verification
Author
Wen-Hao, Zhang 1 ; Liu, Xiao 1 ; Yin, Peng 1 ; Xing-Xiang, Peng 1 ; Gong-Chu, Li 1 ; Xiao-Ye, Xu 1 ; Shang, Yu 1   VIAFID ORCID Logo  ; Zhi-Bo, Hou 1 ; Yong-Jian, Han 1 ; Jin-Shi, Xu 1   VIAFID ORCID Logo  ; Zong-Quan, Zhou 1   VIAFID ORCID Logo  ; Chen, Geng 1 ; Chuan-Feng, Li 1   VIAFID ORCID Logo  ; Guo Guang-Can 1 

 University of Science and Technology of China, CAS Key Laboratory of Quantum Information, Hefei, China (GRID:grid.59053.3a) (ISNI:0000000121679639); University of Science and Technology of China, CAS Center For Excellence in Quantum Information and Quantum Physics, Hefei, China (GRID:grid.59053.3a) (ISNI:0000000121679639) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20566387
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2473203423
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.