Southwest Quantum Information and Technology

Efficient Bayesian phase estimation

Presenting Author: Nathan Wiebe, QuArC (Microsoft)
Contributing Author(s): Christopher Granade, Ilia Zintchenko

We provide a new efficient adaptive algorithm for performing phase estimation that does not require that the user infer the bits of the eigenphase in reverse order; rather it directly infers the phase and estimates the uncertainty in the phase directly from experimental data. Our method is highly flexible, recovers from failures, can be run in the presence of substantial decoherence and other experimental imperfections, can learn instantaneous eigenphases for time dependent systems and is as fast or faster than existing algorithms. Finally, we show a new method for performing phase and amplitude estimation in small quantum systems that makes these methods practical for characterizing small quantum systems using present day hardware.

Read this article online: http://arxiv.org/abs/1508.00869

(Session 9b : Friday from 5:30 pm - 6:00 pm)