Ultrafast All-Optical Measurement of Squeezed Vacuum in a Lithium Niobate Nanophotonic Circuit

Posted by klaurent Caltech

Kavli Affiliate: Alireza Marandi | Summary:Squeezed vacuum, a fundamental resource for continuous-variable quantum information processing, has been used to demonstrate quantum advantages in sensing, communication, and computation. While most experiments use homodyne detection to characterize squeezing and are therefore limited to electronic bandwidths, recent experiments have shown optical parametric amplification (OPA) to be a viable […]


Continue.. Ultrafast All-Optical Measurement of Squeezed Vacuum in a Lithium Niobate Nanophotonic Circuit

Spectral Sufficient Conditions for Graph Factors

Posted by dbos Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Fengyun Ren, Shumin Zhang, Ke Wang, , | Summary: The ${K_{1,1}, K_{1,2},C_m: mgeq3}$-factor of a graph is a spanning subgraph whose each component is an element of ${K_{1,1}, K_{1,2},C_m: mgeq3}$. In this paper, through the graph spectral methods, we establish the lower bound of the signless Laplacian […]


Continue.. Spectral Sufficient Conditions for Graph Factors

Rigorous expansions of modular forms at CM points, I: Denominators

Posted by dbos Cornell

Kavli Affiliate: Chris Xu | First 5 Authors: Chris Xu, , , , | Summary: We describe an algorithm to rigorously compute the power series expansion at a CM point of a weight $2$ cusp form of level coprime to $6$. Our algorithm works by bounding the denominators that appear due to ramification, and without […]


Continue.. Rigorous expansions of modular forms at CM points, I: Denominators

MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Bencheng Yan, Si Chen, Shichang Jia, Jianyu Liu, Yueran Liu | Summary: Click-Through Rate (CTR) prediction is a crucial task in recommendation systems, online searches, and advertising platforms, where accurately capturing users’ real interests in content is essential for performance. However, existing methods heavily rely on ID […]


Continue.. MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling