Source code for "Quantum Annealing Algorithms for Estimating Ising Partition Functions"

Reproducibility + analysis code for “Quantum Annealing Algorithms for Estimating Ising Partition Functions”. Programs qaipf/make_all.py Generates all figures in the paper (main text + supplement) by running the individual figure scripts and collecting outputs. qaipf/make_fig2.py Generates Fig. 2 from instance-level statistics (computed by analyze_instance.py) and/or cached intermediate results. qaipf/make_fig3.py Generates Fig. 3 from instance-level statistics (computed by analyze_instance.py) and/or cached intermediate results. qaipf/analyze_instance.py Computes analysis quantities for a single problem instance, including: instance-dependent statistics (e.g., μ_m and related quantities) partition-function estimates Z used in the paper weighting/mixing parameters (e.g., MV/KL variants used in the paper) divergence metrics (e.g., KL terms used in the paper) normalized variance / variance diagnostics used in plots Figure scripts typically call this logic repeatedly over many instances. qaipf/build_pnmmat.py Regenerates and saves Pnm / Pnmmat matrices as .mat datasets (optional; only needed if you want to rebuild the intermediate data rather than using existing .mat files). Data The code expects precomputed .mat datasets under a consistent directory layout for Pnmmat (SK and 3SAT variants).