3/13/2023 0 Comments Galton board![]() This result sets the foundations for an integration of stochastic computing frameworks into domain-wall devices, opening new paths towards post-Von Neumann spintronics. By probing domain-wall propagation through such a structure a large number of times, we demonstrate that stochastic domain-wall trajectories can be controlled and fine-tuned. Balls are substituted by magnetic domain-walls, and bifurcating nanowires recreate the array of pegs. Here, we demonstrate the controllability of domain-wall stochastic processes by recreating this experiment at the nanoscale. In this device, multiple balls fall into an array of pegs to generate a bell-shaped curve that can be modified via the array spacing or the tilt of the board. An iconic device used to illustrate the emergence of order from controlled randomness is the Galton board. These approaches however require controlling and tuning stochasticity. Still, domain-wall stochasticity could be turned into an asset by using stochastic computing frameworks, such as Bayesian sensing or random neural networks. ![]() Traditional domain-wall devices suppress intrinsic stochastic processes to enhance accuracy. The motion of magnetic domain-walls along nanoscale tracks is thus promising to achieve high-speed, low-power and non-volatile information processing, and an extensive range of domain-wall-based logic architectures is being explored. Magnetic domain-walls travelling through a magnetic circuit perform naturally and simultaneously logic and memory operations, eliminating the von Neumann information bottleneck.
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