主持人：马楚雯
报告摘要：
Quantum computers are expected to excel in simulating unitary dynamics, while most applications in scientific and engineering computations involve non-unitary dynamics.
First, we propose a simple method for simulating a general class of non-unitary dynamics as a linear combination of Hamiltonian simulation (LCHS) problems [Phys. Rev. Lett. 2023]. The LCHS method can achieve optimal complexity. Second, we develop a random compilation framework (random-LCHS) with circuit efficiency in the early fault-tolerant designs. Third, we develop a variational quantum algorithm (variational LCHS) for non-Hermitian system experiments. Finally, we describe a rigorous inf-LCHS Theorem for infinite-dimensional and unbounded operators.
报告人简介：
刘锦鹏，清华大学丘成桐数学科学中心助理教授，博士生导师，入选国家海外高层次人才引进计划，2022-2024年在麻省理工和伯克利任博士后，2022年博士毕业于马里兰大学，2017年本科毕业于北航-中科院华罗庚班。研究方向为量子科学计算与量子科学智能，发表PNAS、Nat.Commun. 、PRL、CMP、JCP、Quantum等期刊和NeurIPS、QIP、TQC等会议，受到Quanta、SIAM News、MATH+等科技媒体报道，获得世界华人数学家大会ICCM毕业论文金奖，担任量子信息权威期刊Quantum（JCR Q1，IF 6.4）的编委。
