期刊
SCIENCE BULLETIN
卷 63, 期 1, 页码 17-23出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.scib.2017.12.022
关键词
Quantum cloud; Nuclear magnetic resonance; Gradient ascent pulse engineering; Randomized benchmarking
资金
- National Natural Science Foundation of China [11175094, 61771278, 11421063, 11534002, 11375167, 11605005]
- National Basic Research Program of China [2015CB921002, 2014CB921403, 2016YFA0301201, 2014CB848700, 2013CB921800]
- National Science Fund for Distinguished Young Scholars [11425523]
- NSAF [U1530401]
- Chinese Ministry of Education [20173080024]
Cloud-based quantum computing is anticipated to be the most useful and reachable form for public users to experience with the power of quantum. As initial attempts, IBM Q has launched influential cloud services on a superconducting quantum processor in 2016, but no other platforms has followed up yet. Here, we report our new cloud quantum computing service -NMRCloudQ (http://nmrcloudq.com/zh-hans/), where nuclear magnetic resonance, one of the pioneer platforms with mature techniques in experimental quantum computing, plays as the role of implementing computing tasks. Our service provides a comprehensive software environment preconfigured with a list of quantum information processing packages, and aims to be freely accessible to either amateurs that look forward to keeping pace with this quantum era or professionals that are interested in carrying out real quantum computing experiments in person. In our current version, four qubits are already usable with in average 99.10% single-qubit gate fidelity and 97.15% two-qubit fidelity via randomized benchmaking tests. Improved control precisions as well as a new seven-qubit processor are also in preparation and will be available later. (C) 2017 Science China Press. Published by Elsevier B.V. and Science China Press. All rights reserved.
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