468 citations · 1k across the 30 of their papers we have counts for
Showing math.NAShow all
2 papers · 1 filter
math.NA2023
Quantum-inspired nonlinear Galerkin ansatz for high-dimensional HJB equations
Chuhao Sun, Asaf Cohen, James Stokes +1
Neural networks are increasingly recognized as a powerful numerical solution technique for partial differential equations (PDEs) arising in diverse scientific computing domains, in…
math.NA2022
Quantum-inspired variational algorithms for partial differential equations: Application to financial derivative pricing
Tianchen Zhao, Chuhao Sun, Asaf Cohen +2
Variational quantum Monte Carlo (VMC) combined with neural-network quantum states offers a novel angle of attack on the curse-of-dimensionality encountered in a particular class of…