Enhancing Associative Memory Recall and Storage Capacity Using Confocal Cavity QED

We introduce a near-term experimental platform for realizing an associative memory. It can simultaneously store many memories by using spinful bosons coupled to a degenerate multimode optical cavity. The associative memory is realized by a confocal cavity QED neural network, with the modes serving a...

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Autores principales:	Brendan P. Marsh, Yudan Guo, Ronen M. Kroeze, Sarang Gopalakrishnan, Surya Ganguli, Jonathan Keeling, Benjamin L. Lev
Formato:	article
Lenguaje:	EN
Publicado:	American Physical Society 2021
Materias:	Physics QC1-999
Acceso en línea:	https://doaj.org/article/b537a487aeba410d8ca2d25930469a9e
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spelling	oai:doaj.org-article:b537a487aeba410d8ca2d25930469a9e2021-12-02T17:20:24ZEnhancing Associative Memory Recall and Storage Capacity Using Confocal Cavity QED10.1103/PhysRevX.11.0210482160-3308https://doaj.org/article/b537a487aeba410d8ca2d25930469a9e2021-06-01T00:00:00Zhttp://doi.org/10.1103/PhysRevX.11.021048http://doi.org/10.1103/PhysRevX.11.021048https://doaj.org/toc/2160-3308We introduce a near-term experimental platform for realizing an associative memory. It can simultaneously store many memories by using spinful bosons coupled to a degenerate multimode optical cavity. The associative memory is realized by a confocal cavity QED neural network, with the modes serving as the synapses, connecting a network of superradiant atomic spin ensembles,which serve as the neurons. Memories are encoded in the connectivity matrix between the spins and can be accessed through the input and output of patterns of light. Each aspect of the scheme is based on recently demonstrated technology using a confocal cavity and Bose-condensed atoms. Our scheme has two conceptually novel elements. First, it introduces a new form of random spin system that interpolates between a ferromagnetic and a spin glass regime as a physical parameter is tuned—the positions of ensembles within the cavity. Second, and more importantly, the spins relax via deterministic steepest-descent dynamics rather than Glauber dynamics. We show that this nonequilibrium quantum-optical scheme has significant advantages for associative memory over Glauber dynamics: These dynamics can enhance the network’s ability to store and recall memories beyond that of the standard Hopfield model. Surprisingly, the cavity QED dynamics can retrieve memories even when the system is in the spin glass phase. Thus, the experimental platform provides a novel physical instantiation of associative memories and spin glasses as well as provides an unusual form of relaxational dynamics that is conducive to memory recall even in regimes where it was thought to be impossible.Brendan P. MarshYudan GuoRonen M. KroezeSarang GopalakrishnanSurya GanguliJonathan KeelingBenjamin L. LevAmerican Physical SocietyarticlePhysicsQC1-999ENPhysical Review X, Vol 11, Iss 2, p 021048 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Physics QC1-999
spellingShingle	Physics QC1-999 Brendan P. Marsh Yudan Guo Ronen M. Kroeze Sarang Gopalakrishnan Surya Ganguli Jonathan Keeling Benjamin L. Lev Enhancing Associative Memory Recall and Storage Capacity Using Confocal Cavity QED
description	We introduce a near-term experimental platform for realizing an associative memory. It can simultaneously store many memories by using spinful bosons coupled to a degenerate multimode optical cavity. The associative memory is realized by a confocal cavity QED neural network, with the modes serving as the synapses, connecting a network of superradiant atomic spin ensembles,which serve as the neurons. Memories are encoded in the connectivity matrix between the spins and can be accessed through the input and output of patterns of light. Each aspect of the scheme is based on recently demonstrated technology using a confocal cavity and Bose-condensed atoms. Our scheme has two conceptually novel elements. First, it introduces a new form of random spin system that interpolates between a ferromagnetic and a spin glass regime as a physical parameter is tuned—the positions of ensembles within the cavity. Second, and more importantly, the spins relax via deterministic steepest-descent dynamics rather than Glauber dynamics. We show that this nonequilibrium quantum-optical scheme has significant advantages for associative memory over Glauber dynamics: These dynamics can enhance the network’s ability to store and recall memories beyond that of the standard Hopfield model. Surprisingly, the cavity QED dynamics can retrieve memories even when the system is in the spin glass phase. Thus, the experimental platform provides a novel physical instantiation of associative memories and spin glasses as well as provides an unusual form of relaxational dynamics that is conducive to memory recall even in regimes where it was thought to be impossible.
format	article
author	Brendan P. Marsh Yudan Guo Ronen M. Kroeze Sarang Gopalakrishnan Surya Ganguli Jonathan Keeling Benjamin L. Lev
author_facet	Brendan P. Marsh Yudan Guo Ronen M. Kroeze Sarang Gopalakrishnan Surya Ganguli Jonathan Keeling Benjamin L. Lev
author_sort	Brendan P. Marsh
title	Enhancing Associative Memory Recall and Storage Capacity Using Confocal Cavity QED
title_short	Enhancing Associative Memory Recall and Storage Capacity Using Confocal Cavity QED
title_full	Enhancing Associative Memory Recall and Storage Capacity Using Confocal Cavity QED
title_fullStr	Enhancing Associative Memory Recall and Storage Capacity Using Confocal Cavity QED
title_full_unstemmed	Enhancing Associative Memory Recall and Storage Capacity Using Confocal Cavity QED
title_sort	enhancing associative memory recall and storage capacity using confocal cavity qed
publisher	American Physical Society
publishDate	2021
url	https://doaj.org/article/b537a487aeba410d8ca2d25930469a9e
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Enhancing Associative Memory Recall and Storage Capacity Using Confocal Cavity QED

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