学术报告:Tensor network simulation in strongly correlated systems: past, present and future

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报告题目:Tensor network simulation in strongly correlated systems: past, present and future

人:顾正澄 教授(香港中文大学理学院)

报告时间:2023331日(周五)上午10:00

报告地点:beat365体育官方网站新楼5楼多功能厅

报告摘要:

Tensor network states are new kinds of variational wavefunctions that help us to understand quantum phases and phase transitions beyond Landau paradigm. In this talk, I will first review the major development of tensor network simulation in the past two decades. In particular, I will introduce the novel concept of long-range entanglement and entanglement renormalization. Then I will discuss the major breakthroughs made by tensor network simulations in recent years. If time permits, I will also mention the relationship between deep learning and tensor network simulation.

报告人简介:

香港中文大学终身教授。担任美国加州大学圣芭芭拉分校Kavli理论物理研究所研究员、加拿大Perimeter研究所研究员、美国加州理工学院访问研究员,北京大学、清华大学、浙江大学访问学者。曾就读于清华大学和麻省理工大学。研究方向为理论物理、凝聚态物理、高能粒子物理等。




人:袁声军 教授

 


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