Shuhan Yang
Department of Electrical and Computer Engineering, National University of Singapore
Builder The claim is about what the hardware does, and the philosophy is left open
Shuhan Yang is an electrical and computer engineering researcher at the National University of Singapore working on spintronic devices, stochastic magnetic tunnel junctions (MTJs), and unconventional probabilistic computing hardware.
As first author of 250 Magnetic Tunnel Junctions-Based Probabilistic Ising Machine (Nature Communications, 2026, doi:10.1038/s41467-026-72020-8, arXiv:2506.14590), co-authored with Andrea Grimaldi, Youwei Bao, Eleonora Raimondo, Jia Si, Giovanni Finocchio, and Hyunsoo Yang, Yang demonstrated a fully connected hardware probabilistic Ising machine integrating 250 spin-transfer torque magnetic tunnel junctions (STT-MTJs) with an FPGA controller. The system combines tunable spintronic true random number generation with a cluster parallel update method yielding a 10-fold acceleration on sparse graphs and a simulated quantum annealing schedule that improves solution quality 20-fold over standard simulated annealing while mitigating device-to-device MTJ variability.
Yang is classified as a Builder on this site. The 250-MTJ demonstration advances physical p-bit hardware from eight-device toy demonstrations toward hundreds of room-temperature spintronic stochastic units without claiming that Ising optimization circuits are conscious.
Known for. 250-MTJ Probabilistic Ising Machine, spin-transfer torque magnetic tunnel junction p-bits, cluster parallel annealing
Coverage on this site
Related researchers
- Andrea GrimaldiDepartment of Mathematical and Computer Sciences, Physical Sciences and Earth Sciences, University of MessinaSpintronic probabilistic computing, 250-MTJ Probabilistic Ising Machine, simulated quantum annealing on p-bits
- Giovanni FinocchioDepartment of Mathematical and Computer Sciences, Physical Sciences and Earth Sciences, University of MessinaSpintronic neuromorphic and probabilistic computing, 250-MTJ Probabilistic Ising Machine, micromagnetic solver development
- Hyunsoo YangDepartment of Electrical and Computer Engineering, National University of SingaporeSpintronics and magnetic tunnel junction fabrication, 250-MTJ Probabilistic Ising Machine, spin-orbit torque devices
- Navid Anjum AaditDepartment of Electrical Engineering, Stanford University (present address); previously University of California, Santa BarbaraFirst author of the sparse Ising machine on FPGAs (Nature Electronics, 2022) and of the programmable probabilistic computer with one million p-bits (arXiv 2606.25313, 2026)
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Shuhan Yang is listed with the other builders, who hold that the claim is about what the hardware does, and the philosophy is left open. The positions themselves are set out in the index of consciousness theories. Every researcher covered on this site is indexed in the directory of consciousness researchers.