2024/01/01 by Osama M. Nayfeh, Nayfeh, Osama M., Haik Manukian +5
Computer Science · Engineering · Physics and Astronomy · #Advanced Memory and Neural Computing #FOS: Physical sciences #Neural Networks and Reservoir Computing #Quantum Physics (quant-ph) #Quantum and electron transport phenomena
paper · pdf · doi:10.48550/arxiv.2401.00958
openalex publication_date 2024/01/01 · openalex created_date 2024/01/04 · openalex updated_date 2026/07/28
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.