Probabilistic spintronics speed up greener optimisation tasks
· Source: nanowerk.com
In short
Researchers at the National University of Singapore have developed spintronic probabilistic computing hardware that solves complex optimisation problems faster and with less energy than conventional CPUs. The system, based on magnetic tunnel junctions, demonstrated a 3.2-fold speedup with 58.3% energy savings compared to CPU implementations, and outperformed D-Wave quantum annealers on quadratic assignment problems. The work points to practical near-term applications in logistics, AI, scheduling, and financial modelling.
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Tags: optimization, spintronics, logistics, energy-efficiency, hardware