Enhanced Quantum Synchronization via Quantum Machine Learning
Abstract
Abstract The quantum synchronization between a pair of two‐level systems inside two coupled cavities is studied. By using a digital–analog decomposition of the master equation that rules the system dynamics, it is shown that this approach leads to quantum synchronization between both two‐level systems. Moreover, in this digital–analog block decomposition, the fundamental elements of a quantum machine learning protocol can be identified, in which the agent and the environment (learning units) interact through a mediating system, namely, the register. If the algorithm can be additionally equipped with a classical feedback mechanism, which consists of projective measurements in the register, reinitialization of the register state, and local conditional operations on the agent and environment subspace, a powerful and flexible quantum machine learning protocol emerges. Indeed, numerical simulations show that this protocol enhances the synchronization process, even when every subsystem experiences different loss/decoherence mechanisms, and gives the flexibility to choose the synchronization state. Finally, an implementation is proposed, based on current technologies in superconducting circuits.
- Authors:
-
[2];
- Departamento de Física Universidad de Santiago de Chile (USACH) Avenida Ecuador 3493 9170124 Santiago Chile, Center for the Development of Nanoscience and Nanotechnology Estación Central 9170124 Santiago Chile
- Department of Physical Chemistry University of the Basque Country UPV/EHU Apartado 644 48080 Bilbao Spain
- Department of Physical Chemistry University of the Basque Country UPV/EHU Apartado 644 48080 Bilbao Spain, IKERBASQUE, Basque Foundation for Science Maria Diaz de Haro 3 48013 Bilbao Spain, Department of Physics Shanghai University 200444 Shanghai China
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1489888
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Advanced Quantum Technologies
- Additional Journal Information:
- Journal Name: Advanced Quantum Technologies Journal Volume: 2 Journal Issue: 7-8; Journal ID: ISSN 2511-9044
- Publisher:
- Wiley Blackwell (John Wiley & Sons)
- Country of Publication:
- Germany
- Language:
- English
Citation Formats
Cárdenas‐López, Francisco A., Sanz, Mikel, Retamal, Juan Carlos, and Solano, Enrique. Enhanced Quantum Synchronization via Quantum Machine Learning. Germany: N. p., 2019.
Web. doi:10.1002/qute.201800076.
Cárdenas‐López, Francisco A., Sanz, Mikel, Retamal, Juan Carlos, & Solano, Enrique. Enhanced Quantum Synchronization via Quantum Machine Learning. Germany. https://doi.org/10.1002/qute.201800076
Cárdenas‐López, Francisco A., Sanz, Mikel, Retamal, Juan Carlos, and Solano, Enrique. Mon .
"Enhanced Quantum Synchronization via Quantum Machine Learning". Germany. https://doi.org/10.1002/qute.201800076.
@article{osti_1489888,
title = {Enhanced Quantum Synchronization via Quantum Machine Learning},
author = {Cárdenas‐López, Francisco A. and Sanz, Mikel and Retamal, Juan Carlos and Solano, Enrique},
abstractNote = {Abstract The quantum synchronization between a pair of two‐level systems inside two coupled cavities is studied. By using a digital–analog decomposition of the master equation that rules the system dynamics, it is shown that this approach leads to quantum synchronization between both two‐level systems. Moreover, in this digital–analog block decomposition, the fundamental elements of a quantum machine learning protocol can be identified, in which the agent and the environment (learning units) interact through a mediating system, namely, the register. If the algorithm can be additionally equipped with a classical feedback mechanism, which consists of projective measurements in the register, reinitialization of the register state, and local conditional operations on the agent and environment subspace, a powerful and flexible quantum machine learning protocol emerges. Indeed, numerical simulations show that this protocol enhances the synchronization process, even when every subsystem experiences different loss/decoherence mechanisms, and gives the flexibility to choose the synchronization state. Finally, an implementation is proposed, based on current technologies in superconducting circuits.},
doi = {10.1002/qute.201800076},
journal = {Advanced Quantum Technologies},
number = 7-8,
volume = 2,
place = {Germany},
year = {Mon Jan 07 00:00:00 EST 2019},
month = {Mon Jan 07 00:00:00 EST 2019}
}
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