An artificial spiking quantum neuron

Abstract Artificial spiking neural networks have found applications in areas where the temporal nature of activation offers an advantage, such as time series prediction and signal processing. To improve their efficiency, spiking architectures often run on custom-designed neuromorphic hardware, but,...

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Autores principales:	Lasse Bjørn Kristensen, Matthias Degroote, Peter Wittek, Alán Aspuru-Guzik, Nikolaj T. Zinner
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Physics QC1-999 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/ad9ff02675794379b318a7dd7064db12
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id	oai:doaj.org-article:ad9ff02675794379b318a7dd7064db12
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spelling	oai:doaj.org-article:ad9ff02675794379b318a7dd7064db122021-12-02T15:51:19ZAn artificial spiking quantum neuron10.1038/s41534-021-00381-72056-6387https://doaj.org/article/ad9ff02675794379b318a7dd7064db122021-04-01T00:00:00Zhttps://doi.org/10.1038/s41534-021-00381-7https://doaj.org/toc/2056-6387Abstract Artificial spiking neural networks have found applications in areas where the temporal nature of activation offers an advantage, such as time series prediction and signal processing. To improve their efficiency, spiking architectures often run on custom-designed neuromorphic hardware, but, despite their attractive properties, these implementations have been limited to digital systems. We describe an artificial quantum spiking neuron that relies on the dynamical evolution of two easy to implement Hamiltonians and subsequent local measurements. The architecture allows exploiting complex amplitudes and back-action from measurements to influence the input. This approach to learning protocols is advantageous in the case where the input and output of the system are both quantum states. We demonstrate this through the classification of Bell pairs which can be seen as a certification protocol. Stacking the introduced elementary building blocks into larger networks combines the spatiotemporal features of a spiking neural network with the non-local quantum correlations across the graph.Lasse Bjørn KristensenMatthias DegrootePeter WittekAlán Aspuru-GuzikNikolaj T. ZinnerNature PortfolioarticlePhysicsQC1-999Electronic computers. Computer scienceQA75.5-76.95ENnpj Quantum Information, Vol 7, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Physics QC1-999 Electronic computers. Computer science QA75.5-76.95
spellingShingle	Physics QC1-999 Electronic computers. Computer science QA75.5-76.95 Lasse Bjørn Kristensen Matthias Degroote Peter Wittek Alán Aspuru-Guzik Nikolaj T. Zinner An artificial spiking quantum neuron
description	Abstract Artificial spiking neural networks have found applications in areas where the temporal nature of activation offers an advantage, such as time series prediction and signal processing. To improve their efficiency, spiking architectures often run on custom-designed neuromorphic hardware, but, despite their attractive properties, these implementations have been limited to digital systems. We describe an artificial quantum spiking neuron that relies on the dynamical evolution of two easy to implement Hamiltonians and subsequent local measurements. The architecture allows exploiting complex amplitudes and back-action from measurements to influence the input. This approach to learning protocols is advantageous in the case where the input and output of the system are both quantum states. We demonstrate this through the classification of Bell pairs which can be seen as a certification protocol. Stacking the introduced elementary building blocks into larger networks combines the spatiotemporal features of a spiking neural network with the non-local quantum correlations across the graph.
format	article
author	Lasse Bjørn Kristensen Matthias Degroote Peter Wittek Alán Aspuru-Guzik Nikolaj T. Zinner
author_facet	Lasse Bjørn Kristensen Matthias Degroote Peter Wittek Alán Aspuru-Guzik Nikolaj T. Zinner
author_sort	Lasse Bjørn Kristensen
title	An artificial spiking quantum neuron
title_short	An artificial spiking quantum neuron
title_full	An artificial spiking quantum neuron
title_fullStr	An artificial spiking quantum neuron
title_full_unstemmed	An artificial spiking quantum neuron
title_sort	artificial spiking quantum neuron
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/ad9ff02675794379b318a7dd7064db12
work_keys_str_mv	AT lassebjørnkristensen anartificialspikingquantumneuron AT matthiasdegroote anartificialspikingquantumneuron AT peterwittek anartificialspikingquantumneuron AT alanaspuruguzik anartificialspikingquantumneuron AT nikolajtzinner anartificialspikingquantumneuron AT lassebjørnkristensen artificialspikingquantumneuron AT matthiasdegroote artificialspikingquantumneuron AT peterwittek artificialspikingquantumneuron AT alanaspuruguzik artificialspikingquantumneuron AT nikolajtzinner artificialspikingquantumneuron
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An artificial spiking quantum neuron

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