Design automation software tools for Topological Quantum Error Correction

PyMatching: A Python/C++ library for decoding quantum error correcting codes with minimum-weight perfect matching.

Qiskit quantum error correction framework

Search-based decoder for quantum error correction (QEC) written in C++ and Python.

Qiskit Topological Codes

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

High-performance quantum computing in pure Rust + WebAssembly: state-vector circuit simulator with SIMD & noise models, VQE, Grover, QAOA, surface-code error correction, and real-time coherence via dynamic min-cut.

A Julia interface to popular python packages for decoding quantum error correcting codes.

A Python package to simulate and visualise Union-Find-related decoders for the surface and repetition codes.

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.

Compile quantum circuits to surface code architectures using edge-disjoint paths

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

python simulation and analysis code for arXiv:2503.04986

C++ implementation of multiplexed toric codes simulator

MITS, a new methodology to optimize surface code implementations by predicting ideal distance and rounds given target logical error rates and known physical noise levels of the hardware.

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.