Skip to main content

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 or aarch64/arm64 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.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page