Experimental Direct Quantum Fidelity Learning via a Data-Driven Approach-Reference-Cited by-同舟云学术

Experimental Direct Quantum Fidelity Learning via a Data-Driven Approach

Published:2024-05-09 Issue:19 Volume:132 Page:
ISSN:0031-9007
Container-title:Physical Review Letters
language:en
Short-container-title:Phys. Rev. Lett.

Author:

Qin Haiyang¹,Che Liangyu¹,Wei Chao¹,Xu Feng¹,Huang Yulei¹,Xin Tao¹

Affiliation:

1. Shenzhen Institute for Quantum Science and Engineering and Department of Physics, Southern University of Science and Technology, Shenzhen 518055, China; Guangdong Provincial Key Laboratory of Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China and Shenzhen Key Laboratory of Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Guangdong Province Key Laboratory of Computational Science

Southern University of Science and Technology

Shenzhen Science and Technology Program

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevLett.132.190801/fulltext

Reference47 articles.

1. Quantum advantage in learning from experiments

2. Quantum computational advantage with a programmable photonic processor

3. Materials challenges and opportunities for quantum computing hardware

4. Noisy intermediate-scale quantum computers

5. Learning quantum systems

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1. Experimental Direct Quantum Fidelity Learning via a Data-Driven Approach;Physical Review Letters;2024-05-09