Microsoft Corporation
TRAINING OF VARIATIONAL QUANTUM CLASSIFIERS BY PARAMETRIC COORDINATE ASCENT

Abstract:

Embodiments of the disclosed technology employ parametric coordinate ascent to train a quantum circuit. In certain implementations, parameters (e.g., variational parameters) are learned by coordinate ascent using closed form equations. This strategy helps ensure monotonic convergence to local maxima in parameter space at predictable convergence rates and eliminates the overhead due to hyperparameter sweeps.