QuFlow:可视化量子电路中的参数流以理解量子计算

Siyuan Lin, Hao Jiang, Ling-yun Sun
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引用次数: 3

摘要

随着近年来量子计算的飞速发展,吸引了大量的人来学习量子计算。量子计算与经典计算有很大的不同。为了帮助初学者学习量子计算,我们对正在学习量子计算的人进行了采访,发现初学者对以下问题感到困惑:1)量子门如何在复杂的量子电路中贡献最终结果;2)最终结果如何沿着量子电路产生步骤。因此,我们提出QuFlow,一个用于量子计算基础教学的交互式可视化工具。用户可以使用它来构建量子电路,然后QuFlow将在经典计算机中模拟量子电路。经过仿真,QuFlow不仅将呈现量子电路的最终输出结果,还将显示参数沿量子电路的变化情况。在目标用户中进行了定性用户研究,结果表明QuFlow可以有效地用于学习量子计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QuFlow: Visualizing Parameter Flow in Quantum Circuits for Understanding Quantum Computation
With the rapid progress of quantum computation recently, it attracts a substantial amount of people to learn quantum computation. Quantum computation differs a lot from classical computation. To help novices learn quantum computation, we conducted a interview with people who are learning quantum computation and found that novices feel confused about 1) how quantum gates contribute to the final results in a complicated quantum circuit and 2) how the final results generate steps along the quantum circuits. Thus, we present QuFlow, an interactive visualization tool for teaching the fundamentals of quantum computation. Users can use it to build a quantum circuit, then QuFlow will simulate the quantum circuit in a classical computer. After simulation, QuFlow will not only present the final output results of quantum circuits but also shows how the parameters change along the quantum circuits. A qualitative user study was carried out among target users, and the results suggested that QuFlow could be effective for learning quantum computation.
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