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cond-mat.str-el2025
Enhancing Neural Network Backflow
Kieran Loehr, Bryan K. Clark
Accurately describing the ground state of strongly correlated systems is essential for understanding their emergent properties. Neural Network Backflow (NNBF) is a powerful variati…
physics.chem-ph2025
Efficient optimization of neural network backflow for ab-initio quantum chemistry
An-Jun Liu, Bryan K. Clark
The ground state of second-quantized quantum chemistry Hamiltonians is key to determining molecular properties. Neural quantum states (NQS) offer flexible and expressive wavefuncti…