qecsim is a Python 3 package for simulating quantum error correction using stabilizer codes.
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Updated
Aug 5, 2021 - Python
qecsim is a Python 3 package for simulating quantum error correction using stabilizer 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.
Software for exploring, developing, and evaluating quantum error-correction protocols.
Open-source implementation of a Möbius decoder for color codes used in quantum error correction (QEC)
Python Tools for Quantum Error Correction
Qecsim is a Julia package for simulating quantum error correction using stabilizer codes.
A library for analyzing Quantum Error Correction Codes from their Tanner Graphs.
Stim wrapper for simulations of surface code experiments
QECirc — A community-driven library for quantum error correction circuits.
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.
Source code for parer "Low-overhead defect-adaptive surface code with bandage-like super-stabilizers"
RustQEC: a Rust workspace for quantum error correction simulation, decoding, and reproducible benchmarks.
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.
The QEC user interface providing integration with popular open-source decoders for the Bloqade SDK.
Multi-code QEC resource estimator for Qiskit circuits
Neural decoders for quantum error correction on the 3D Toric code. Includes implementation of TheEND decoder for 2D toric code corrections.
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