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.

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.

HPC assisted Surface Code threshold simulator powered by Stim, PyMatching, and Sinter for distributed quantum error correction research.

Modular quantum error correction simulator built in Python and Qiskit, featuring repetition codes, planar surface codes, configurable noise models, MWPM decoding, Monte Carlo benchmarking, and ongoing integration of Stim/PyMatching-based decoding workflows.

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

Rotated surface code quantum error correction simulator: Stim + PyMatching threshold curve, D3 lattice animation, RSA-2048 qubit estimator

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.

Source-available Rust/Python quantum error correction decoder package with MWPM, Union-Find, BP-OSD, LDPC/qLDPC, CUDA batch decoding, PyMatching/Stim validation, and reproducible benchmark artifacts.