Physical
Computation
Laboratory

We explore fundamental methods to use an understanding of the physical world to enable efficient computation that interacts with nature.

Physical Computation Laboratory

Recent Publications

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It
Members Public

The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It
Gaussian Process Predictions with Uncertain Inputs Enabled by Uncertainty-Tracking Processor Architectures
Members Public

Gaussian Process Predictions with Uncertain Inputs Enabled by Uncertainty-Tracking Processor Architectures
Simulated Eyeblink Artifact Removal with ICA: Effect of Measurement Uncertainty

Jennie Couchmen, Orestis Kaparounakis, Chatura Samarakoon, and Phillip Stanley-Marbell. Preprint.      
Members Public

Simulated Eyeblink Artifact Removal with ICA: Effect of Measurement Uncertainty
Electron-Tunnelling-Noise Programmable Random Variate Accelerator for Monte Carlo Sampling

Author list... Venue short name.      
Members Public

Electron-Tunnelling-Noise Programmable Random Variate Accelerator for Monte Carlo Sampling