Physics-Informed Bayesian Optimization of Variational Quantum Circuits Kim A. Nicoli 1,2,3 Christopher J. Anders
–Neural Information Processing Systems
In this paper, we propose a novel and powerful method to harness Bayesian optimization for V ariational Quantum Eigensolvers (VQEs)--a hybrid quantum-classical protocol used to approximate the ground state of a quantum Hamiltonian.
Neural Information Processing Systems
Feb-10-2026, 12:59:12 GMT
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