surface-code

Design automation software tools for Topological Quantum Error Correction

Qiskit quantum error correction framework

Simulation and visualization of quantum error correcting codes

✅ Python package for simulation and visualization of quantum error-correction on surface codes. The package provides the ability to inspect the error-correcting code during the decoding process, and tools to benchmark the decoder.

An implementation of the belief-matching decoder

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.

Blueprint for a decentralized, fault-tolerant Surface Code infrastructure leveraging branchless C99 ancilla-syndrome registers, zero-copy C++ binders, and JAX/XLA gradient isolation gates to bypass classical decoding latency walls.

Source code for parer "Low-overhead defect-adaptive surface code with bandage-like super-stabilizers"

Implementation of Surface Code algorithm in Qrisp Enviro

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

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

Neural surface-code decoder in MLX that beats minimum-weight perfect matching, trained and benchmarked entirely on Apple Silicon

A benchmark harness you can't fool: compare neural QEC decoders against minimum-weight perfect matching on identical shots, with Wilson intervals and honest three-way verdicts.

Modular quantum error correction benchmarking framework featuring Stim-based surface-code simulation, detector error models, MWPM decoding, Monte Carlo threshold analysis, and reference implementations in Qiskit and a first-principles checkerboard surface code.

Observable contrast from ECA to symmetry, gauge, and real-QEC drift benchmarks: reproducible algorithms, audits, and six working papers.

Open-source QEC decoders: Pathfinder — a direction-aware neural surface-code decoder (real-time-budget Triton kernel) whose multi-seed ensemble lowers logical error below the prior open-source GNN at operational noise rates — plus a kernel-grounded, MLE-anchored latency–LER benchmark for circuit-level qLDPC (bivariate-bicycle) codes.

Ten-part quantum error correction research portfolio: surface-code simulation, decoders, ML, observability, fault-tolerance economics, and landmark-paper reproductions.

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.

An extensible visual workbench for small, explainable quantum error-correction experiments.