Publication Type
Journal Article
Version
acceptedVersion
Publication Date
1-2023
Abstract
Quantum computing has attracted considerable public attention due to its exponential speedup over classical computing. Despite its advantages, today's quantum computers intrinsically suffer from noise and are error-prone. To guarantee the high fidelity of the execution result of a quantum algorithm, it is crucial to inform users of the noises of the used quantum computer and the compiled physical circuits. However, an intuitive and systematic way to make users aware of the quantum computing noise is still missing. In this paper, we fill the gap by proposing a novel visualization approach to achieve noise-aware quantum computing. It provides a holistic picture of the noise of quantum computing through multiple interactively coordinated views: a Computer Evolution View with a circuit-like design overviews the temporal evolution of the noises of different quantum computers, a Circuit Filtering View facilitates quick filtering of multiple compiled physical circuits for the same quantum algorithm, and a Circuit Comparison View with a coupled bar chart enables detailed comparison of the filtered compiled circuits. We extensively evaluate the performance of VACSEN through two case studies on quantum algorithms of different scales and in-depth interviews with 12 quantum computing users. The results demonstrate the effectiveness and usability of VACSEN in achieving noise-aware quantum computing.
Keywords
Data visualization, noise awareness, quantum computing
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing
Research Areas
Data Science and Engineering
Publication
IEEE Transactions on Visualization and Computer Graphics
Volume
29
Issue
1
First Page
462
Last Page
472
ISSN
1077-2626
Identifier
10.1109/TVCG.2022.3209455
Publisher
Institute of Electrical and Electronics Engineers
Citation
RUAN, Shaolun; WANG, Yong; JIANG, Weiwen; MAO, Ying; and GUAN, Qiang.
VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing. (2023). IEEE Transactions on Visualization and Computer Graphics. 29, (1), 462-472.
Available at: https://ink.library.smu.edu.sg/sis_research/7796
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/TVCG.2022.3209455
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons