Reservoir computing is a hardware-friendly approach for recurrent neural networks, as reservoir weights are fixed and need not be tunable. Here, the authors propose a passive reservoir computing scheme based on frustrated nanomagnets and demonstrate its expressivity and extreme efficiency.
- Alexander J. Edwards
- Dhritiman Bhattacharya
- Joseph S. Friedman
