VENUS: A Geometrical Representation for Quantum State Visualization
Shaolun Ruan, Ribo Yuan, Qiang Guan, Yanna Lin, Ying Mao, Weiwen, Jiang, Zhepeng Wang, Wei Xu, Yong Wang

TL;DR
VENUS introduces a new geometric visualization method for quantum states that effectively represents entanglement and superposition, overcoming limitations of traditional tools like the Bloch Sphere.
Contribution
We propose VENUS, a novel geometric visualization technique that explicitly encodes quantum amplitudes, entanglement, and superposition for single and two-qubit states.
Findings
VENUS effectively visualizes quantum entanglement and superposition.
Case studies and expert feedback confirm its usefulness.
Facilitates easier exploration of quantum states.
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…
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Taxonomy
TopicsData Visualization and Analytics · Computational Physics and Python Applications · Computer Graphics and Visualization Techniques
