Differential evolution for many-particle adaptive quantum metrology.
Phys Rev Lett
; 110(22): 220501, 2013 May 31.
Article
en En
| MEDLINE
| ID: mdl-23767703
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.
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Bases de datos:
MEDLINE
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
Phys Rev Lett
Año:
2013
Tipo del documento:
Article
País de afiliación:
Canadá