Versatile and Robust Reservoir Computing with PWM-Driven Heterogenous R-C Circuits.

Abstract

Physical reservoir computing (PRC) holds great promise for low-latency, energy-efficient information processing, yet current implementations often suffer from limited flexibility, adaptability, and environmental stability. Here, a PRC system based on pulse-width modulation (PWM)-encoded resistor-capacitor (R-C) circuits is introduced, achieving exceptional versatility and robustness. By leveraging customizable nonlinearities and dynamic timescales, this system achieves state-of-the-art performance across diverse tasks, including chaotic time-series forecasting (NRMSE = 0.015 for Mackey-Glass) and complex multiscale tasks (94% accuracy for multiclass heartbeat classification). Notably, the design reduces relative errors by 98.4% across different device batches and under temperature variations compared to memristor-based reservoirs. These features position the approach as a scalable, adaptive, and energy-efficient solution for edge computing in dynamic environments, paving the way for robust and practical analog computing systems.