论文标题
VACSEN:量子计算中噪声意识的可视化方法
VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing
论文作者
论文摘要
量子计算因其对经典计算的指数加速而引起了广泛的公众关注。尽管具有优势,但当今的量子计算机本质上会遇到噪声,并且容易出错。为了确保量子算法的执行结果的高保真度,至关重要的是要告知用户使用的量子计算机和编译的物理电路的声音。但是,一种使用户了解量子计算噪声的直观和系统的方法仍然缺少。在本文中,我们通过提出一种新的可视化方法来填补空白,以实现噪声吸引量子计算。 It provides a holistic picture of the noise of quantum computing through multiple interactively coordinated views: a Computer Evolution View with a circuit-like design overviews the temporal evolution of the noises of different quantum computers, a Circuit Filtering View facilitates quick filtering of multiple compiled physical circuits for the same quantum algorithm, and a Circuit Comparison View with a coupled bar chart enables detailed comparison of the filtered compiled circuits.我们通过两个案例研究对不同量表的量子算法以及对12个量子计算用户进行深入的访谈,广泛评估了VACSEN的性能。结果证明了VACSEN在实现噪声吸引量子计算方面的有效性和可用性。
Quantum computing has attracted considerable public attention due to its exponential speedup over classical computing. Despite its advantages, today's quantum computers intrinsically suffer from noise and are error-prone. To guarantee the high fidelity of the execution result of a quantum algorithm, it is crucial to inform users of the noises of the used quantum computer and the compiled physical circuits. However, an intuitive and systematic way to make users aware of the quantum computing noise is still missing. In this paper, we fill the gap by proposing a novel visualization approach to achieve noise-aware quantum computing. It provides a holistic picture of the noise of quantum computing through multiple interactively coordinated views: a Computer Evolution View with a circuit-like design overviews the temporal evolution of the noises of different quantum computers, a Circuit Filtering View facilitates quick filtering of multiple compiled physical circuits for the same quantum algorithm, and a Circuit Comparison View with a coupled bar chart enables detailed comparison of the filtered compiled circuits. We extensively evaluate the performance of VACSEN through two case studies on quantum algorithms of different scales and an in-depth interviews with 12 quantum computing users. The results demonstrate the effectiveness and usability of VACSEN in achieving noise-aware quantum computing.