Implementation of Quantum neural networks to simulate many-body quantum systems

Install:

• pip install -r requirements.txt
• pip install -r req_torch.txt

Run:

• python scripts/main.py to train the model and plot the results.

Reproducing report figures

Commands are offline (CPU-only) unless noted. Full details in each script's --help/docstring.

Figure(s)	Command
embedding/{a,b,c,legend}.pdf	python scripts/viz/plot_embedding_toy.py
rbm_abstract.pdf, embedding_full_zephyr.pdf	python scripts/viz/plot_dwave_embedding.py
spin_ordering_across_qpt.pdf	python scripts/viz/plot_phase_transition_ordering.py --plot-only
dtv_classical_*.pdf	python scripts/dtv/dtv_classical_samplers.py --plot-only
dtv_beta_scale_*.pdf	python scripts/dtv/dtv_beta_scale.py --plot-only
dtv_autoscale_*.pdf	python scripts/dtv/dtv_autoscale.py --plot-only (needs QPU to regenerate from scratch)
cem_validation_*.pdf	python scripts/exper/cem_validation_sweep.py → python scripts/viz/plot_cem_validation.py --input <output>.json
cem_matching_*.pdf	python scripts/exper/cem_matching_demo.py
fig_convergence_median.pdf	python scripts/j1j2/j1j2_convergence_median.py --plot-only
sparse_graph_construction/*.pdf	python scripts/viz/plot_sparse_graph_construction.py
sparsity_ablation_heatmap.pdf	python scripts/viz/plot_sparsity_ablation_heatmap.py
sparsity_ablation_qpu_vs_classical.pdf	python scripts/viz/plot_sparsity_ablation_floor.py
parallel_embedding_np4_pegasus.pdf	python scripts/viz/plot_parallel_embedding.py --N 8 --n-parallel 4
parallel_embedding_np_seeds_qpu_time.pdf	python scripts/exper/parallel_embedding_experiment.py --plot-only (needs QPU to regenerate)
fig10c_tte_vs_n_self_convergence*.pdf	see scripts/viz/paper_figures.py docstring — mixed classical/FPGA/QPU pipeline

Not covered by any script (hand-made schematics): tta_overview_*.pdf, anneal_schedule_plot.pdf, pegasus.pdf, zephyr.pdf.

scripts/validation/ and a few scripts/viz/ files (dashboard.py, plot_ite.py, plot_hparam_search.py, plot_ttc.py) are diagnostics, not tied to a figure.