Quantum control in artificial neurons with superconductor-ionic memory inserted in the feedback

To improve artificial intelligence/autonomous systems and help with treating neurological conditions, there's a requirement for artificial neuron hardware that mimics biological. We examine experimental artificial neurons with quantum tunneling memory using 4.2 nm of ionic Hafnium oxide and Nio...

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Bibliographic Details
Published inarXiv.org
Main Authors Nayfeh, Osama M, Manukian, Haik, Kelly, Matthew, Mauger, Justin
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 01.01.2024
Subjects
Artificial intelligence
Correlation
Hafnium oxide
Hamiltonian functions
Negative feedback
Neurons
Niobium
Quantum tunnelling
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Summary:To improve artificial intelligence/autonomous systems and help with treating neurological conditions, there's a requirement for artificial neuron hardware that mimics biological. We examine experimental artificial neurons with quantum tunneling memory using 4.2 nm of ionic Hafnium oxide and Niobium metal inserted in the positive and negative feedback of an oscillator. These neurons have adaptive spiking behavior and hybrid non-chaotic/chaotic modes. When networked, they output with strong itinerancy. The superconducting state at 8.1 Kelvin results in Josephson tunneling with signs that the ionic states are influenced by quantum coherent control in accordance with quantum master equation calculations of the expectation values and correlation functions with a calibrated time dependent Hamiltonian. We experimentally demonstrate a learning network of 4 artificial neurons, and the modulation of signals.
ISSN:2331-8422