Deep learning has witnessed great success in computer vision, and large-scale data-driven models are becoming prevalent in modern machine perception systems. However, a critical drawback of learned pe...
In this talk, I plan to introduce our two recent works (arXiv: 2201.00752, arXiv: 2207.01403). I will begin with briefly introducing the basic concepts of quantum error mitigation (QEM) in the era of ...
The unconventional superconductivity of a given material is dictated by multiple degrees of freedom of charge, spin, orbital, and lattice. These degrees of freedom, as well as the interactions among t...
Two-dimensional (2D) magnets decouple from the substrates, allow electrical control, and are mechanically flexible, making them integratable into emergent heterostructures for advanced properties and ...
We consider the problem of learning a transport mapping between two distributions that are only observed through unpaired data points. This problem provides a unified framework for a variety of fundam...
经过二十多年的发展,“鬼”成像(也可叫单像素成像)在可见和近红外波段已进入实际应用阶段。从理论上讲,电磁波的各个波长甚至微观粒子都可以实现鬼成像,其基本原理基于Hanbury Brown和Twiss的二阶强度关联函数。...