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.

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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.

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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. 

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2021

Benchmarking a probabilistic co-processor

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P-Computer architecture outperforms CPUs and GPUs for optimization, Bayesian inference, and Monte Carlo stochastic sampling

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516 Northwestern Ave, Ste 4008 West Lafayette, IN 47906, United States