NMRCloudQ: a quantum cloud experience on a nuclear magnetic resonance quantum computer

Tao Xin, Shilin Huang, Sirui Lu, Keren Li, Zhihuang Luo, Zhangqi Yin, Jun Li*, Dawei Lu, Guilu Long, Bei Zeng

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

32 引用 (Scopus)
Plum Print visual indicator of research metrics
  • Citations
    • Citation Indexes: 32
  • Captures
    • Readers: 45
  • Mentions
    • News Mentions: 1
  • Social Media
    • Shares, Likes & Comments: 21
see details

摘要

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.

源语言英语
页(从-至)17-23
页数7
期刊Science Bulletin
63
1
DOI
出版状态已出版 - 15 1月 2018
已对外发布

指纹

探究 'NMRCloudQ: a quantum cloud experience on a nuclear magnetic resonance quantum computer' 的科研主题。它们共同构成独一无二的指纹。

引用此

Xin, T., Huang, S., Lu, S., Li, K., Luo, Z., Yin, Z., Li, J., Lu, D., Long, G., & Zeng, B. (2018). NMRCloudQ: a quantum cloud experience on a nuclear magnetic resonance quantum computer. Science Bulletin, 63(1), 17-23. https://doi.org/10.1016/j.scib.2017.12.022