Utilizing rate-independent hysteresis for analog computing
Fuente:
arXiv
Salvato in:
| Autori principali: | , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866910875812626432 |
|---|---|
| author | Jaurigue, Lina Lüdge, Kathy |
| author_facet | Jaurigue, Lina Lüdge, Kathy |
| contents | Physical systems exhibiting hysteresis are increasingly being used in neuromorphic and in-memory computing research. Generally, the resistance switching of devices with rate-independent hysteresis are being investigated for their use as trainable weights in neural networks, whereas the dynamics of devices showing rate-dependent hysteresis are being investigate for their potential as nodes in, for example in reservoir computing systems. In our work we instead show the computing potential of a simple rate-independent hysteresis system. We show that by driving a system of only two linear branches with time-multiplexed inputs it is possible to generate nonlinear transforms and perform timeseries prediction tasks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_11179 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Utilizing rate-independent hysteresis for analog computing Jaurigue, Lina Lüdge, Kathy Computational Physics Physical systems exhibiting hysteresis are increasingly being used in neuromorphic and in-memory computing research. Generally, the resistance switching of devices with rate-independent hysteresis are being investigated for their use as trainable weights in neural networks, whereas the dynamics of devices showing rate-dependent hysteresis are being investigate for their potential as nodes in, for example in reservoir computing systems. In our work we instead show the computing potential of a simple rate-independent hysteresis system. We show that by driving a system of only two linear branches with time-multiplexed inputs it is possible to generate nonlinear transforms and perform timeseries prediction tasks. |
| title | Utilizing rate-independent hysteresis for analog computing |
| topic | Computational Physics |
| url | https://arxiv.org/abs/2503.11179 |