Colored noise-induced logical stochastic resonance in a low-power-consumption spintronics neuron

Abstract Superparamagnetic tunnel junctions (SMTJs) are promising components for neuromorphic computing due to their ultra-low-power operation enabled by low energy barriers. As a specific application, SMTJs have been employed to implement Boolean logic operations, which can serve as the foundation for brain-morphic computing. However, previous studies have not thoroughly investigated the noise-influenced behavior of SMTJ-based logic operations. To address this gap, we numerically explore the logical stochastic resonance (LSR) behavior in an SMTJ under the influence of colored noise. Our results demonstrate that high-frequency-dominant noises (white, blue, and violet) significantly enhance the robustness of logic operations under subthreshold driving conditions, inducing both noise-induced and noise-free LSR modes. In contrast, low-frequency-dominant noises (red and pink) suppress junction frequencies, inducing only noise-free LSR with reduced noise tolerance. This work also highlights the distinct advantages of the two LSR modes: noise-free LSR ensures stability across varying noise intensities, while noise-induced LSR enables low-power operation in controlled noise environments. By disregarding the transitional process of logic state switching, both the best noise robustness in noise-free LSR and the minimum power consumption under noise-induced LSR can be improved. Compared to SMTJ-based logic computing devices without noise-driven operation, SMTJ-based LSR systems can achieve over 60% energy savings.