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QuFlow: Visualizing Parameter Flow in Quantum Circuits for Understanding Quantum Computation

机译:QuFlow:可视化量子电路中的参数流,以了解量子计算

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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.
机译:随着最近量子计算的飞速发展,它吸引了大量的人学习量子计算。量子计算与经典计算有很大不同。为了帮助新手学习量子计算,我们对正在学习量子计算的人进行了一次采访,发现新手感到困惑的是:1)量子门如何对复杂的量子电路中的最终结果作出贡献; 2)最终结果如何产生沿量子电路。因此,我们提出了QuFlow,这是一种交互式的可视化工具,用于教授量子计算的基础知识。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不仅将展示量子电路的最终输出结果,而且还将展示参数如何沿量子电路变化。在目标用户中进行了定性用户研究,结果表明QuFlow可以有效地学习量子计算。

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