title: Differential evolution for many-particle adaptive quantum metrology.
abstract: We devise powerful algorithms based on differential evolution for adaptive many-particle quantum metrology. Our new approach delivers adaptive quantum metrology policies for feedback control that are orders-of-magnitude more efficient and surpass the few-dozen-particle limitation arising in methods based on particle-swarm optimization. We apply our method to the binary-decision-tree model for quantum-enhanced phase estimation as well as to a new problem: a decision tree for adaptive estimation of the unknown bias of a quantum coin in a quantum walk and show how this latter case can be realized experimentally.
authors.affiliation: Institute for Quantum Science and Technology, University of Calgary, Alberta T2N 1N4, Canada.
authors.forename: Neil B
authors.initials: NB
authors.lastname: Lovett
authors.forename: Cécile
authors.initials: C
authors.lastname: Crosnier
authors.forename: Martí
authors.initials: M
authors.lastname: Perarnau-Llobet
authors.forename: Barry C
authors.initials: BC
authors.lastname: Sanders