Design automation software tools for Topological Quantum Error Correction
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Updated
Oct 24, 2026 - Python
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
Rotated planar surface code syndrome decoder detecting bit-flip (X) and phase-flip (Z) errors using parity-check stabilizer measurements.
Rotated planar surface code syndrome decoder detecting bit-flip (X) and phase-flip (Z) errors using parity-check stabilizer measurements.
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.
Quantum-neuromorphic hybrid substrate (QNHS): spin qubits + MTJ synapses + cryo-CMOS. Energy, Q-STDP, noise, network learning, Monte Carlo and security models with 90 tests.
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"
SpiderLS Artifact
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.
Autonomous Quantum Error Correction (QEC) Syndrome Decoder using Stim, PyMatching MWPM, Qiskit & Streamlit
Circuit-level surface code Monte Carlo simulation with syndrome extraction, logical-failure tracking and threshold analysis.
Implementation of Surface Code algorithm in Qrisp Enviro
Aegis QEC — Open-source quantum error correction for surface codes: Stim/PyMatching MWPM decoding, noise simulation, benchmarking, and reproducible research.
Classical toy simulation (Stim + PyMatching, classical CPU only) of surface-code and repetition-code memory scaling. No hardware, not a QEC demonstration.
Reproduce the result behind Google's Willow chip on IonQ and IBM noise models in your browser: repetition-code memories, a matching decoder and Lambda, on Qollab.
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