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.
Solving a NP-Complete problem (Max-Cut) with Extropic "Thermodynamic" sampling hardware.
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.
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."