Quantum-Inference-Flatiron-CCQ.pdf (23.83 MB)
Quantum Inference and Quantum Flows
journal contribution
posted on 2018-04-27, 19:46 authored by Kyle CranmerKyle Cranmer, Duccio Pappadopulo, Siavash GolkarWe 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