VENUS：一种用于量子态可视化的几何表示
VENUS: A Geometrical Representation for Quantum State Visualization
AI总结：
针对 Bloch Sphere 难以呈现量子纠缠与叠加的问题，本文提出 VENUS 几何可视化，用二维形状和协调半圆表示振幅与概率分布，并通过案例研究和专家访谈验证其有效性。
摘要：
可视化在各类量子计算应用中，对帮助量子计算用户探索量子态发挥了关键作用。其中，Bloch Sphere（布洛赫球）是广泛用于展示量子态的可视化方式，它利用角度来表示量子振幅。然而，它无法支持量子纠缠和量子叠加这两个量子计算本质属性的可视化。为解决这一问题，我们提出了 VENUS，这是一种用于量子态表示的新型可视化方法。通过以量子计算特性的数学基础为依据，将二维几何形状显式关联，VENUS 能够有效表示单量子比特以及用于量子纠缠的双量子比特的量子振幅。此外，我们使用多个协调的半圆来自然地编码概率分布，使量子叠加能够被直观分析。我们开展了两项精心设计的案例研究和一次深入的专家访谈，以评估 VENUS 的有用性和有效性。结果表明，VENUS 能够有效促进对单量子比特和双量子比特量子态的探索。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
