Meet us at IEDM DEC 2022, San Francisco CA
Our Story
Our work is rooted in more than a decade of research at Purdue University. It has expanded to UC Berkeley, UC Santa Barbara, and Tohoku University, There have been dozens of journal publications spanning physics and engineering, such as Nature Nanotechnology, Nature, Nature Electronics, Physical Review X, Applied Physics Review, Applied Physics Letters, IEEE Access, IEEE Spectrum, and Nano letters, to name a few.
Ludwig Computing is commercializing this technology.
2010
All Spin Logic
Proposal to use the spin of electrons, rather than their charge to perform computation, with no
spin-to-charge conversion.
2016
Energy-Based Models in Hardware
Design of electronic and Spintronic devices whose intrinsic physics represents Bayesian Belief Networks, Ising Solvers, and Boltzmann machines.
2019
Complex Optimization
A specially designed network of mixed-Signal intrinsically stochastic devices optimizes an objective function to factorize integers via a quantum-inspired algorithm
2020
Massively parallel p-bits compute autonomously
The sequencer-less design allows autonomous computation resulting in massive parallelization and local computing alleviating the Von Neumann bottleneck.
2021
Benchmarking a probabilistic co-processor
P-Computer architecture outperforms CPUs and GPUs for optimization, Bayesian inference, and Monte Carlo stochastic sampling
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