1.
Phys Rev Lett
; 117(1): 010503, 2016 Jul 01.
Article
in English
| MEDLINE
| ID: mdl-27419551
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.