Quantum Scientific Computation and Quantum Artificial Intelligence
Organizer：
Jin-Peng Liu 刘锦鹏
Speaker：
Chang Liu 刘畅
Time：
Wednesday, 16:15-17:15, June 3, 2026
Venue：
Ningzhai 204
Tencent meeting:：523-5882-8284
Title：
Early Fault-Tolerant Quantum Algorithms in Practice: Application to Ground-State Energy Estimation
Abstract:
Ground-state energy estimation is a central problem in quantum algorithms. While quantum phase estimation is a powerful theoretical tool, its deep circuits can be costly for early fault-tolerant quantum computers.
In this talk, I will discuss the work by Kiss et al. on using spectral cumulative distribution functions and Fourier moments for ground-state energy estimation. The main idea is to use shallower real-time evolution circuits and repeated sampling to identify low-energy spectral support of an initial state, rather than directly running deep phase estimation.
I will explain the basic method, its connection to quantum phase estimation, and the main tradeoffs in the early fault-tolerant regime.
References:
[1] Kiss et al., “Early Fault-Tolerant Quantum Algorithms in Practice: Application to Ground-State Energy Estimation,” Quantum 9, 1682, 2025; arXiv:2405.03754.
Bio: Chang Liu is a PhD student at the Institute of Applied Physics and Computational Mathematics.
Speaker：
Hao-En Li 李昊恩
Time：
Wednesday, 17:15-18:15, June 3, 2026
Venue：
Ningzhai 204
Tencent meeting:：523-5882-8284
Title：
Probing phase transitions via short-time dissipative dynamics
Abstract:
We propose a dynamical approach for identifying ground-state quantum phases through short-time dissipative cooling. By rapidly suppressing high-energy components, the dynamics drives the system into a low-energy manifold whose observables reveal the underlying phase well before equilibration. More broadly, our results suggest a pragmatic path toward quantum advantage for applications in many-body physics: begin with benchmark problems and progressively move toward more challenging regimes, where such approaches may offer genuine computational benefits. This is a joint work with Y. Yang and L. Lin.
Bio: Hao-En Li is currently a PhD student at the Department of Mathematics, UC Berkeley. He is interested in quantum many-body problems. He received the 2024 Tsinghua University Special Scholarship (Undergraduate).
