Speaker
Giuseppe Sarracino
(Istituto Nazionale di Astrofisica (INAF))
Description
In this talk, an hybrid quantum algorithm for Bayesian inference will be presented, QMCMC, following the Markow Chain Monte Carlo method. This algorithm proposes the new steps via the evaluation of the statevector of a quantum circuit, then evaluates the objective function and the acceptance rate classically using the Metropolis-Hastings criterium. The QMCMC algorithm has been tested with real cosmological datasets and likelihoods, involving SNe Ia, BAO, and the CMB. The results show contours which are consistently overlapping with those found by classical tools to infer the Bayesian contours for cosmological parameters, proving the reliability of the QMCMC.