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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)17-23
Number of pages7
JournalScience Bulletin
Volume63
Issue number1
DOIs
Publication statusPublished - 15 Jan 2018
Externally publishedYes

Keywords

  • Gradient ascent pulse engineering
  • Nuclear magnetic resonance
  • Quantum cloud
  • Randomized benchmarking

Fingerprint

Dive into the research topics of 'NMRCloudQ: a quantum cloud experience on a nuclear magnetic resonance quantum computer'. Together they form a unique fingerprint.

Cite this