Meta-Variational Quantum Eigensolver: Learning Energy Profiles of Parameterized Hamiltonians for Quantum Simulation
Alba Cervera-Lierta, Jakob S. Kottmann, Alán Aspuru-Guzik · PRX Quantum · 2021
An algorithm that uses quantum machine learning methods to estimate the ground state energy of any parametrization of the Hamiltonian within a certain trusted region is developed, reducing the total computational cost of these variational quantum algorithms.