title: Efficient Bayesian Phase Estimation.
abstract: We introduce a new method called rejection filtering that we use to perform adaptive Bayesian phase estimation. Our approach has several advantages: it is classically efficient, easy to implement, achieves Heisenberg limited scaling, resists depolarizing noise, tracks time-dependent eigenstates, recovers from failures, and can be run on a field programmable gate array. It also outperforms existing iterative phase estimation algorithms such as Kitaev's method.
authors.affiliation: Quantum Architectures and Computation Group, Microsoft Research, Redmond, Washington 98052, USA.
authors.forename: Nathan
authors.initials: N
authors.lastname: Wiebe
authors.affiliation: Centre for Engineered Quantum Systems, Sydney, New South Wales 2006, Australia.|School of Physics, University of Sydney, Sydney, New South Wales 2006, Australia.
authors.forename: Chris
authors.initials: C
authors.lastname: Granade