Quantum Computing from Simulation to Applications
报告题目(Title)：Quantum Computing from Simulation to Applications
报告人(Speaker)：Christian Mendl（Technical University of Munich）
地点(Place)：zoom会议 会议 ID：62201451036 密码：116013
时间(Time)：2021年2月22日16:00-17:00
邀请人(Inviter)：陈华杰
报告摘要
The first part of the talk focuses on "Qaintum" (https://github.com/Qaintum), a recent work-in-progress digital quantum simulator written in Julia. It uses Julia's type system to represent digital quantum circuits symbolically, and features an efficient, matrix-free application of common cir-cuit gates to quantum statevectors. We will also explain how a "backward" pass through a quan-tum circuit and integration with the Flux machine learning toolbox is implemented, which ena-bles the simulation of hybrid classical-quantum algorithms. For the future, we envision a flexible switch to alternative representations (like ZX, tensor networks, ...) to realize circuit optimizations, an incorporation of noise models or simulation of quantum devices on a lower (hardware) level, as well as intercommunication interfaces to physical quantum computers. The second part of the talk is concerned with an explorative application of (future) quantum computers for solving dif-ferential equations. We discuss a mapping to the quantum annealing compute model (arXiv:2012.09469), and alternative approaches tailored for photonic quantum computers (arXiv:2012.12220).
主讲人简介
Professor Christian Mendl conducts research in the fields of computational physics for quantum systems, quantum computing and nonequilibrium statistical physics. His work focuses, in particular, on algorithm development and the simulation of (strongly corre-lated) quantum systems on high-performance computers, using tensor network meth-ods, quantum Monte Carlo and exploring methods inspired by artificial neural networks. In the field of statistical physics, Prof. Mendl investigates systems within the Kardar-Parisi-Zhang universality class.
Prof. Mendl studied physics and mathematics at TUM. After his PhD at the LMU Mu-nich (2012), he worked as a postdoc together with Herbert Spohn on topics of statisti-cal physics. A Feodor Lynen fellowship from the Humboldt Foundation led him to Stan-ford University in 2015, where he investigated models for high-temperature supercon-ductors using quantum Monte Carlo methods. In 2017, he was appointed Junior Pro-fessor at TU Dresden and, in 2019, as a Rudolf Mößbauer Assistant Professor at TUM.
