<i>VACSEN</i>: A <u>V</u>isualization <u>A</u>pproa<u>c</u>h for Noi<u>s</u>e Awaren<u>e</u>ss in Qua<u>n</u>tum Computing

Quantum computing has attracted considerable public attention due to its exponential speedup over classical computing. Despite advantages, today's quantum computers intrinsically suffer from noise and are error-prone. To guarantee the high fidelity of execution result a algorithm, it is crucial inform users noises used computer compiled physical circuits. However, an intuitive systematic way make aware still missing. In this paper, we fill gap by proposing novel visualization approach achieve noise-aware It provides holistic picture through multiple interactively coordinated views: Computer Evolution View with circuit-like design overviews temporal evolution different computers, Circuit Filtering facilitates quick filtering circuits for same Comparison coupled bar chart enables detailed comparison filtered We extensively evaluate performance VACSEN two case studies on algorithms scales in-depth interviews 12 users. The results demonstrate effectiveness usability in achieving