دورية أكاديمية
An artificial spiking quantum neuron
العنوان: | An artificial spiking quantum neuron |
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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 |
تدمد: | 20566387 |
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DOI: | 10.1038/s41534-021-00381-7 |