3 papers
quant-ph2025
Floquet-informed Learning of Periodically Driven Hamiltonians
Keren Li
Characterizing time-periodic Hamiltonians is pivotal for validating and controlling driven quantum platforms, yet prevailing and unadjusted reconstruction methods demand dense time…
cs.NE2024
Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks
Guodong Du, Runhua Jiang, Senqiao Yang +5
Darwinian evolution of the biological brain is documented through multiple lines of evidence, although the modes of evolutionary changes remain unclear. Drawing inspiration from th…
cs.LG2024
Improving PINNs By Algebraic Inclusion of Boundary and Initial Conditions
Mohan Ren, Zhihao Fang, Keren Li +1
"AI for Science" aims to solve fundamental scientific problems using AI techniques. As most physical phenomena can be described as Partial Differential Equations (PDEs) , approxima…