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Andrea Grimaldi

Department of Mathematical and Computer Sciences, Physical Sciences and Earth Sciences, University of Messina

Builder The claim is about what the hardware does, and the philosophy is left open

Andrea Grimaldi is a researcher in applied physics and unconventional computing at the University of Messina, Italy, working with Giovanni Finocchio on spintronic diodes, stochastic magnetic tunnel junctions, and hardware Ising machines.

In 250 Magnetic Tunnel Junctions-Based Probabilistic Ising Machine (Nature Communications, 2026, doi:10.1038/s41467-026-72020-8, arXiv:2506.14590), Grimaldi, Shuhan Yang, Giovanni Finocchio, Hyunsoo Yang, and colleagues engineered a hybrid spintronic-FPGA probabilistic Ising machine driven by 250 spin-transfer torque magnetic tunnel junctions (STT-MTJs). Grimaldi’s work on the platform’s annealing schedules and cluster parallel update algorithms showed that mapping simulated quantum annealing onto physical spintronic p-bits increases ground-state solution quality by a factor of 20 compared to standard simulated annealing while suppressing errors from magnetic device fabrication tolerances.

Grimaldi is classified as a Builder on this site. His research bridges nanoscale magnetic device physics and programmable Monte Carlo sampling architectures for thermodynamic and probabilistic computing.

Known for. Spintronic probabilistic computing, 250-MTJ Probabilistic Ising Machine, simulated quantum annealing on p-bits

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