Thermodynamic Hypergraphical Model Library in JAX
-
Updated
Nov 5, 2025 - Python
Thermodynamic Hypergraphical Model Library in JAX
This repo is an educational POC showing how thermodynamic sampling units can produce sparse polynomial approximations. It’s intended for demonstration, not production.
This repository reproduces the numerical results of the publication: Kaiser et al., "Subnanosecond fluctuations in low-barrier nanomagnets." Physical Review Applied 12, no. 5 (2019): 054056.
Solving a NP-Complete problem (Max-Cut) with Extropic "Thermodynamic" sampling hardware.
Add a description, image, and links to the probabilistic-computing topic page so that developers can more easily learn about it.
To associate your repository with the probabilistic-computing topic, visit your repo's landing page and select "manage topics."