## Quantum Inference and Quantum Flows

journal contribution

posted on 27.04.2018 by Kyle Cranmer, Duccio Pappadopulo, Siavash Golkar#### journal contribution

Any type of content formally published in an academic journal, usually following a peer-review process.

We have introduced a method to extract energy eigenvalues and eigenstates from lattice simulations

• essentially maximum likelihood for density matrices

• can extract several excited states accurately

• demonstrated with SHO, but technique applies to more complicated classical action

We have also introduced Quantum Flows

• unitary operators via neural network-based bijections