Speaker：
Wenjun Yu
University of Hong Kong
Time：
Tues., 13:30-14:30
Dec. 3, 2024
Venue：
B626, Shuangqing Complex Building
Abstract：
As quantum technology advances, quantum simulation becomes increasingly promising, with significant implications for quantum many-body physics and quantum chemistry. Despite being one of the most accessible simulation methods, the product formula encounters challenges due to the pessimistic gate count estimation. In this work, we elucidate how observable knowledge can accelerate quantum simulations. By focusing on specific families of observables, we reduce product-formula simulation errors and gate counts in both short-time and arbitrary-time scenarios. Our advanced error analyses, supported by numerical studies, indicate improved gate count estimation. We anticipate that the explored speed-ups can pave the way for efficiently realizing quantum simulations and demonstrating advantages on near-term quantum devices.
About the Speaker：
Wenjun Yu is now a PhD candidate in computer science at the University of Hong Kong, supervised by Prof. Qi Zhao and Prof. Giulio Chiribella. He received a Bachelor's degree in 2021 from the Institute for Interdisciplinary Information Sciences at Tsinghua University. His research interests include quantum computing, quantum algorithms, and the characterization of NISQ devices.
