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cs.LG2024
Retentive Neural Quantum States: Efficient Ansätze for Ab Initio Quantum Chemistry
Oliver Knitter, Dan Zhao, James Stokes +3
Neural-network quantum states (NQS) has emerged as a powerful application of quantum-inspired deep learning for variational Monte Carlo methods, offering a competitive alternative…
quant-ph2024
An application of continuous-variable gate synthesis to quantum simulation of classical dynamics
Sam Cochran, James Stokes, Paramsothy Jayakumar +1
Although quantum computing holds promise to accelerate a wide range of computational tasks, the quantum simulation of quantum dynamics as originally envisaged by Feynman remains th…