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Enhanced Quantum Synchronization via Quantum Machine Learning (Adv. Quantum Technol. 7‐8/2019)
Author(s) -
CárdenasLópez Francisco A.,
Sanz Mikel,
Retamal Juan Carlos,
Solano Enrique
Publication year - 2019
Publication title -
advanced quantum technologies
Language(s) - English
Resource type - Journals
ISSN - 2511-9044
DOI - 10.1002/qute.201970043
Subject(s) - dissipative system , quantum , synchronization (alternating current) , atom (system on chip) , computer science , protocol (science) , physics , quantum mechanics , embedded system , computer network , medicine , channel (broadcasting) , alternative medicine , pathology
The cover figure represents a system comprising two atoms, which are called Agent and Environment, coupled to a central atom, called Register, in a dissipative reservoir. Additionally, a laser shines the Agent atom to counterbalance the losses. The machine learning protocol consists of measuring the Register and, according to the measurement outcome, act on the adjacent systems via classical communication. This protocol speeds up the quantum synchronization between Agent and Environment. For further information see article number 1800076 by Mikel Sanz and co‐workers.