2023
Physics-Informed Bayesian Optimization of Variational Quantum Circuits
NeurIPS 2023poster
In this paper, we propose a novel and powerful method to harness Bayesian optimization for variational quantum eigensolvers (VQEs) - a hybrid quantum-classical protocol used to approximate the ground state of a quantum Hamiltonian. Specifically, we derive a *VQE-kernel* which incorporates important…