Provably efficient variational generative modeling of quantum many-body systems via quantum-probabilistic information geometry

Faris M. Sbahi, Antonio J. Martinez, Sahil Patel +4

The dual tasks of quantum Hamiltonian learning and quantum Gibbs sampling are relevant to many important problems in physics and chemistry. In the low temperature regime, algorithm…