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An artificial spiking quantum neuron

التفاصيل البيبلوغرافية
العنوان: An artificial spiking quantum neuron
المؤلفون: Lasse Bjørn Kristensen, Matthias Degroote, Peter Wittek, Alán Aspuru-Guzik, Nikolaj T. Zinner
المصدر: npj Quantum Information, Vol 7, Iss 1, Pp 1-7 (2021)
بيانات النشر: Nature Portfolio, 2021.
سنة النشر: 2021
المجموعة: LCC:Physics
LCC:Electronic computers. Computer science
مصطلحات موضوعية: Physics, QC1-999, Electronic computers. Computer science, QA75.5-76.95
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2056-6387
Relation: https://doaj.org/toc/2056-6387
DOI: 10.1038/s41534-021-00381-7
URL الوصول: https://doaj.org/article/ad9ff02675794379b318a7dd7064db12
رقم الأكسشن: edsdoj.9ff02675794379b318a7dd7064db12
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20566387
DOI:10.1038/s41534-021-00381-7