Accelerated libraries for Quantum Error Correction built on CUDA-Q
Project description
CUDA-Q QEC Library
CUDA-Q QEC is a high-performance quantum error correction library that leverages NVIDIA GPUs to accelerate classical decoding and processing of quantum error correction codes. The library provides optimized implementations of common QEC tasks including syndrome extraction, decoding, and logical operation tracking.
Note: CUDA-Q QEC is currently only supported on Linux operating systems using
x86_64 processors. CUDA-Q QEC does not require a GPU to use, but some
components are GPU-accelerated.
Features
- Fast syndrome extraction and processing on GPUs
- Common decoders for surface codes and other topological codes
- Real-time decoding capabilities for quantum feedback
- Integration with CUDA-Q quantum program execution
Getting Started
For detailed documentation, tutorials, and API reference, visit the CUDA-Q QEC Documentation.
License
CUDA-Q QEC is an open source project. The source code is available on GitHub and licensed under Apache License 2.0.
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