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VENUS: A Geometrical Representation for Quantum State Visualization.

Authors :
Ruan, Shaolun
Yuan, Ribo
Guan, Qiang
Lin, Yanna
Mao, Ying
Jiang, Weiwen
Wang, Zhepeng
Xu, Wei
Wang, Yong
Source :
Computer Graphics Forum; Jun2023, Vol. 42 Issue 3, p247-258, 12p, 4 Diagrams, 1 Chart, 1 Graph
Publication Year :
2023

Abstract

Visualizations have played a crucial role in helping quantum computing users explore quantum states in various quantum computing applications. Among them, Bloch Sphere is the widely‐used visualization for showing quantum states, which leverages angles to represent quantum amplitudes. However, it cannot support the visualization of quantum entanglement and superposition, the two essential properties of quantum computing. To address this issue, we propose VENUS, a novel visualization for quantum state representation. By explicitly correlating 2D geometric shapes based on the math foundation of quantum computing characteristics, VENUS effectively represents quantum amplitudes of both the single qubit and two qubits for quantum entanglement. Also, we use multiple coordinated semicircles to naturally encode probability distribution, making the quantum superposition intuitive to analyze. We conducted two well‐designed case studies and an in‐depth expert interview to evaluate the usefulness and effectiveness of VENUS. The result shows that VENUS can effectively facilitate the exploration of quantum states for the single qubit and two qubits. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01677055
Volume :
42
Issue :
3
Database :
Complementary Index
Journal :
Computer Graphics Forum
Publication Type :
Academic Journal
Accession number :
164587021
Full Text :
https://doi.org/10.1111/cgf.14827