title: Likelihood-free methods for quantum parameter estimation.
abstract: In this Letter, we strengthen and extend the connection between simulation and estimation to exploit simulation routines that do not exactly compute the probability of experimental data, known as the likelihood function. Rather, we provide an explicit algorithm for estimating parameters of physical models given access to a simulator which is only capable of producing sample outcomes. Since our algorithm does not require that a simulator be able to efficiently compute exact probabilities, it is able to exponentially outperform standard algorithms based on exact computation. In this way, our algorithm opens the door for the application of new insights and resources to the problem of characterizing large quantum systems, which is exponentially intractable using standard simulation resources.
authors.affiliation: Center for Quantum Information and Control, University of New Mexico, Albuquerque, New Mexico 87131-0001, USA.
authors.forename: Christopher
authors.initials: C
authors.lastname: Ferrie
authors.affiliation: Institute for Quantum Computing and Department of Physics, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.
authors.forename: Christopher E
authors.initials: CE
authors.lastname: Granade