Skip to main content

Useful tools for quantum computing experiments, provided for BMSTU FMN

Project description

pyquac

Useful tools for quantum computing experiments in Jupyter notebook, provided for BMSTU FMN

Description

package consists of two main modules:

  • fmn_plottools: Plot data with plotly package
  • fmn_datatools: (IN PROGRESS). Tools to work with data. Send signal to the machine, pull request, generate pandas DataFrame from it, get approximation result etc.

There is also datatools module, but it just an simplier analog of fmn_plottools that soon would be removed.

Installation

Normal installation

pip install pyquac

Development installation

git clone https://github.com/ikaryss/pyquac.git

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

pyquac-1.0.1a0.tar.gz (15.8 kB view details)

Uploaded Source

Built Distribution

pyquac-1.0.1a0-py3-none-any.whl (31.4 kB view details)

Uploaded Python 3

File details

Details for the file pyquac-1.0.1a0.tar.gz.

File metadata

  • Download URL: pyquac-1.0.1a0.tar.gz
  • Upload date:
  • Size: 15.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5

File hashes

Hashes for pyquac-1.0.1a0.tar.gz
Algorithm Hash digest
SHA256 140cb2c458ec5ef970f8b4da039264e03707655e4e3a456565e0d57b323d4fba
MD5 298eb8d53540da612776a04d3663d14d
BLAKE2b-256 cb7f6b90e8f85f465edae7262b2a737b30a279aa1088d397dcf41dc5802ae262

See more details on using hashes here.

File details

Details for the file pyquac-1.0.1a0-py3-none-any.whl.

File metadata

  • Download URL: pyquac-1.0.1a0-py3-none-any.whl
  • Upload date:
  • Size: 31.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.5

File hashes

Hashes for pyquac-1.0.1a0-py3-none-any.whl
Algorithm Hash digest
SHA256 d5ce5b5b3bee27da4d609fdbccdcf196ac4c6662ebf7540202b4c32ab911894e
MD5 44217871b841493825dc140afcd58748
BLAKE2b-256 1d3c17beff46dbfcb2c0ecc4daaeb3e5bee7a5cc2f033d27209849ec873dc1b5

See more details on using hashes here.

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