Meta-learning of Gibbs states for many-body Hamiltonians with applications to Quantum Boltzmann Machines
Two meta-learning algorithms are introduced: Meta-Variational Quantum Thermalizer (Meta-VQT) and Neural Network Meta-VQT (NN-Meta VQT) for efficient thermal state preparation of parametrized Hamiltonians on Noisy Intermediate-Scale Quantum (NISQ) devices and a Quantum Boltzmann Machine (QBM) on a 2-qubit Heisenberg mod...