Visualization for Quantum Computing: Current State and Future Directions

Feng Liang is currently a research engineer in the College of Computing and Data Science, Nanyang Technological University. His research interests mainly focus on Visualization for Quantum Computing and AI for Science. He received his master's degree from KAUST in 2022 and his bachelor's degree from SUSTech in 2017.

Xiaolin Wen is currently a Ph.D student in the College of Computing and Data Science, Nanyang Technological University (NTU). His research interests mainly focus on visualization for FinTech and LLM-assisted design study. He received his master's degree in Computer Science and Technology from Sichuan University in 2023 and his dual bachelor's degree in Computer Science and Financial Engineering from Sichuan University in 2016.

Shixian Zhou is currently working toward the MPhil degree with the School of Media and Design, Hangzhou Dianzi University, Hangzhou, China. He also studied as a visiting student at Nanyang Technological University, Singapore. His research interests include visual analytics, brain-computer interfaces, and online learning data analysis.

Shaolun Ruan is currently a postdoctoral researcher at the University of Konstanz. His research interests include Data Visualization and HCI. His work focuses on developing tools to address the explainability and usability problems in LLMs, quantum computing, and data storytelling. He received his Ph.D. and Bachelor's degree from Singapore Management University (SMU) and the University of Electronic Science and Technology of China (UESTC).

Yuxuan Du is an Assistant Professor in the College of Computing and Data Science at Nanyang Technological University (NTU), Singapore. Prior to joining NTU, he was a senior Research Scientist at JD Explore Academy. He received his Ph.D. in Computer Science from The University of Sydney in 2021. His research lies at the intersection of AI and quantum science, with a focus on quantum machine learning, quantum computing, and AI for Science. He is the author of one monograph and more than 50 publications in leading journals and conferences, including Nature Reviews Physics, Nature Communications, Physical Review Letters, PRX Quantum, ICML, and NeurIPS.

Qiang Guan is an Associate Professor in the Department of Computer Science at Kent State University. He is also a guest scientist at Los Alamos National Laboratory. His research interests include quantum computing, noise mitigation, quantum cloud and high-performance computing. He received his Ph.D. in Computer Science and Engineering from the University of North Texas in 2014, his M.S. in Information Engineering from Myongji University in 2008, and his B.S. in Communication Engineering from Northeastern University in 2005.

Jun Ye is a Principal Scientist at CETC International Cornerstone Quantum Industry (Suzhou) Co., Ltd. His research focuses on pulse-level quantum hardware emulation platforms, quantum dynamics simulations for open quantum systems, tensor-network and other high-performance simulation methods for quantum systems, as well as hybrid quantum-classical computing and its applications. He earned his B.Sc. from Central South University and his Ph.D. in Materials Science and Engineering from Nanyang Technological University, Singapore.

Yong Wang is currently an assistant professor in the College of Computing and Data Science, Nanyang Technological University. Before that, he worked as an assistant professor at Singapore Management University from 2020 to 2024. His research interests include data visualization, HCI and human-AI collaboration, with an emphasis on their application to FinTech, quantum computing and education. He obtained his Ph.D. in Computer Science from Hong Kong University of Science and Technology. He received his B.E. and M.E. from Harbin Institute of Technology and Huazhong University of Science and Technology, respectively.