Hysteresis and self-oscillations in an artificial memristive quantum neuron
We theoretically study an artificial neuron circuit containing a quantum memristor in the presence of relaxation and dephasing. The charge transport in the quantum element is realized via tunneling of a charge through a quantum particle which shuttles between two terminals—a functionality reminiscent of classical diffusive memristors. We demonstrate that this physical principle enables hysteretic behavior in the current-voltage characteristics of the quantum device. In addition, being used in an artificial neural circuit, the quantum switcher is able to generate self-sustained current oscillations. Our analysis reveals that these self-oscillations are triggered only in quantum regimes with a moderate rate of relaxation, and cannot exist either in a purely coherent regime or at a very high decoherence. We investigate the hysteresis and instability leading to the onset of current self-oscillations and analyze their properties depending on the circuit parameters. Our results provide a generic approach to the use of quantum regimes for controlling hysteresis and generating self-oscillations. Published by the American Physical Society 2024
Authors
- A. M. Zagoskin (ORCID: https://orcid.org/0000-0002-1189-5116)
- A. G. Balanov (ORCID: https://orcid.org/0000-0002-1678-0756)
- Finlay Potter (ORCID: https://orcid.org/0009-0008-8006-7243)
- Sergey Savel’ev (ORCID: https://orcid.org/0000-0003-0691-579X)
Institutions
- Loughborough University (GB)
Publication Details
- Journal
- Physical review. A/Physical review, A
- Published
- 2024-10-03
- DOI
- https://doi.org/10.1103/physreva.110.042604
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- UK Research and Innovation
- HORIZON EUROPE Framework Programme