This repository contains code for creating stim circuits describing planar honeycomb patches, performing Monte Carlo sampling of logical error rates from those circuits, and producing related plots (for a paper).
The following assumes you've cloned the repo and your current working directory is the repo root.
# (in a fresh virtual environment at repo root)
pip install -r requirements.txt
pytest src
The following assumes you've cloned the repo and your current working directory is the repo root.
# (in a fresh virtual environment at repo root)
mkdir out
pip install -r requirements.txt
# Collect data (this example takes ~1 minute).
PYTHONPATH=src python src/hcb/artifacts/collect_logical_error_rates.py \
-case_error_rates 0.001 0.002 \
-case_observables H V \
-case_gate_sets SD6 \
-case_decoders pymatching \
-case_distances 3 5 \
-max_shots 10_000 \
-max_errors 100 \
-merge_mode saturate \
-threads 4 \
-storage_location out/sample_data.csv
# (...Wait for data collection to finish...)
# Plot collected data.
PYTHONPATH=src python src/hcb/artifacts/make_threshold_plots.py \
out/sample_data.csv