Polynomially efficient quantum enabled variational Monte Carlo for training neural-network quantum states for physico-chemical applications

Manas Sajjan, Vinit Singh, Sabre Kais

Neural-network quantum states (NQS) offer a versatile and expressive alternative to traditional variational ansätze for simulating physical systems. Energy-based frameworks, like H…