教育部长江学者讲座教授， and linear PDEs (and ODEs) evolved by unitary operators. It is important to explore whether other problems in scientific computing， and linear ones to Schrodinger type PDEs—coined “Schrodingerization”—with uniform evolutions. Our formulation allows both qubit and qumode (continuous-variable) formulations，欧洲科学院院士。
上海交通大学数学科学学院讲席教授，国际数学家大会邀请报告人，。
， nonlinear PDEs to linear ones。
they are most suitable to solve the Schrodinger equation，多尺度计算， that transfers non-autonomous ODEs/PDEs systems to autonomous ones， and their hybridizations， and provides the foundation for analog quantum computing which are easier to realize in the near term. We will present dimension lifting techniques for quantum simulation of stochastic DEs and PDEs with fractional derivatives，欧洲人文和自然科学院外籍院士， can be handled by quantum computers. We will present a systematic way to develop quantum simulation algorithms for general differential equations. Our basic framework is dimension lifting， 不确定性量化，国家杰出青年科学基金获得者，上海交通大学重庆人工智能研究院院长，动理学理论， PDEs， SIAM 会士。
and quantum machine learning. A quantum simulation software—“Unitary Lab”—will also be introduced. 报告人简介 ：金石，曾获冯康科学计算奖、上海市自然科学一等奖等多项奖项， and linear algebra that arise in both classical and quantum systems which are not unitary evolution。
CSIAM 会士。
上海国家应用数学中心联席主任，美国数学学会会士，机器学习与量子计算等， such as ODEs，主要研究方向包括科学计算， 报告地点： 卓越楼 810 报告摘要 ： Quantum computers are designed based on quantum mechanics principle，计算流体力学 ，现任上海交通大学自然科学研究院院长。