Fast MAXCUT, TSP, and sampling heuristics from near-ideal transverse field Ising model (TFIM)
-
Updated
May 9, 2026 - Python
Fast MAXCUT, TSP, and sampling heuristics from near-ideal transverse field Ising model (TFIM)
Here we will compare one well-known (ED) and another new method (QAOA) for quantum simulations of many-body physics.
σ²_I: A basis-invariant, partition-free structural observable for finite quantum systems.
Mechanistic interpretability of classical neural networks trained on quantum data — using sparse autoencoders to detect quantum structure in classical representations.
Add a description, image, and links to the tfim topic page so that developers can more easily learn about it.
To associate your repository with the tfim topic, visit your repo's landing page and select "manage topics."