Skip to main content

PECOS (Performance Estimator of Codes On Surfaces) is a package designed to facilitate the evaluation and study of quantum error correcting codes.

Project description


PyPI version Documentation Status

PECOS (Performance Estimator of Codes On Surfaces) is a Python framework for studying, developing, and evaluating quantum error-correction protocols.

  • Author: Ciarán Ryan-Anderson
  • Language: Python 3.5.2+ (with optional C and C++ extensions)


For questions or suggestions, please feel free to contact the author:

Getting Started

To get started, check out the documentation in the "docs" folder or find it online at:

Latest Development

See the following branch for the the last version of PECOS that is under active development:

(Note, this is a pre-release branch.)


  • Python 3.5.2+
  • NumPy 1.15+
  • SciPy 1.1+
  • Matplotlib 2.2+
  • NetworkX 2.1+

Optional Dependencies

  • Cython (to compile optional C/C++ extensions)
  • pytest 3.0+ (to run tests)
  • Sphinx 2.7.6+ (to compile the documentation)


To install using pip run the command:

pip install quantum-pecos

To install from GitHub go to:

Then, download/unzip or clone the version of PECOS you would like to use. Next, navigate to the root of the package (where is located) and run:

pip install .

To install and continue to develop the version of PECOS located in the install folder, run the following instead:

pip install -e .


To uninstall run:

pip uninstall quantum-pecos

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

quantum-pecos-0.1.2.tar.gz (197.4 kB view hashes)

Uploaded Source

Supported by

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