Independent QEC Research & Development

Main Project: QECTOR Decoder v3 — Production-grade Rust + Python decoding platform.

High-performance, verifiable decoders for quantum error correction:

• MWPM / Blossom (exact parity with PyMatching)
• Union-Find & Fast UF
• BP-OSD, Sparse Blossom, Hybrid & Neural predecoders
• GPU (CUDA) batch acceleration, streaming, and edge-optimized paths

Strong focus on correctness, reproducibility, and practical performance across code families (surface, heavy-hex, qLDPC, etc.).

• v0.6.8 released with comprehensive edge benchmarks
• 21k+ PyPI downloads
• Desktop Workbench GUI + MCP server available
• Full benchmark datasets archived on Zenodo

• PyPI: qector-decoder-v3
• Website: qector.store
• Workbench: itch.io
• Benchmarks: Zenodo records (21339300, 21501377, 21360433)
• Contact: [email protected]

Open to serious licensing, collaboration, and integration discussions with quantum computing teams and researchers.

Focused on building reliable tools that accelerate fault-tolerant quantum computing research.