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

Theoretical analysis of thermodynamic matrix inversion: first-order equivalence to preconditioned gradient descent and implications for analog computing

Gerhard Kirsten, Michael Selby, Janith Petangoda, Olle Halqvist Elias, James Meech, and Phillip Stanley-Marbell. Nature Unconventional Computing.      
Members Public

Theoretical analysis of thermodynamic matrix inversion: first-order equivalence to preconditioned gradient descent and implications for analog computing
Digital methods to quantify sensor output uncertainty in real time

Orestis Kaparounakis and Phillip Stanley-Marbell. Nature Communications Engineering.      
Members Public

Digital methods to quantify sensor output uncertainty in real time
Approximating Analytically-Intractable Likelihood Densities with Deterministic Arithmetic for Optimal Particle Filtering
Members Public

Approximating Analytically-Intractable Likelihood Densities with Deterministic Arithmetic for Optimal Particle Filtering
Quantization of Probability Distributions via Divide-and-Conquer: Convergence and Error Propagation under Distributional Arithmetic Operations
Members Public

Quantization of Probability Distributions via Divide-and-Conquer: Convergence and Error Propagation under Distributional Arithmetic Operations