stim

A library for analyzing Quantum Error Correction Codes from their Tanner Graphs.

Frontier decoder for quantum LDPC codes: pruned dynamic programming over boundary states for approximate logical maximum-likelihood decoding of sparse parity-check and detector-error-model matrices.

Stim wrapper for simulations of surface code experiments

The quantum substrate of the Neura Parse stack — one IR across gate, neutral-atom, photonic-CV and pulse modalities; fault-tolerant promotion (surface · BB qLDPC · Gidney–Shutty cultivation); AI-augmented compilation; ed25519-signed manifests with offline-verifiable hash chains.

RustQEC: a Rust workspace for quantum error correction simulation, decoding, and reproducible benchmarks.

Noise model replicating ytterbium atom qubits on Clifford circuits.

Tesseract quantum error correction code and Stim simulations

Firmware + other software useful for using our custom StimSync Device

Useful tools for QEC simulation with Stim

Production-grade Rust/Python quantum error correction decoder. 25+ decoder families: MWPM Blossom, Union-Find, BP-OSD, LDPC/qLDPC, belief-matching, CUDA/GPU batch decoding, AutoDecoder 7-tier fallback. PyMatching/Stim/Sinter compatible. Ed25519 license verification. Benchmark evidence included.

First version of social 2-step task with shocks.

Vendor-portable GPU decoders for quantum LDPC codes — Triton min-sum BP & Relay-BP on NVIDIA (CUDA), AMD (ROCm), and Apple-silicon (Metal), consuming any stim DetectorErrorModel.

Cloud-distributed Monte Carlo sampling for quantum error correction. Partitions Stim circuits across SkyPilot-managed spot instances, each running unmodified sinter collect, then merges results via sinter combine.

Notebook laboratory for quantum error correction, tensor-network simulation, fault-tolerant compilation, and quantum algorithms.

Circuit-level surface code Monte Carlo simulation with syndrome extraction, logical-failure tracking and threshold analysis.

Open-source quantum error correction research workspace with Stim, PyMatching, reproducible experiments, and a Gemini research assistant.

Simulation reproduction of Google Quantum AI's 2023 surface-code scaling experiment, compared against published logical error rates.

Measurement-free fault-tolerant QEC simulations — 9-qubit Bacon-Shor (coherent feedback) and [[4,2,2]] encoded Grover in Qiskit and Stim. Coherent, measurement-free QEC on the Bacon-Shor and [[4,2,2]] codes.

Neural network decoders (MLP, GNN) for quantum error correction on a distance-3 surface code — benchmarked against classical MWPM, validated on real Google Sycamore hardware data.