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-1.1.5.tar.gz (19.5 kB view details)

Uploaded Source

Built Distribution

pyquac-1.1.5-py3-none-any.whl (42.0 kB view details)

Uploaded Python 3

File details

Details for the file pyquac-1.1.5.tar.gz.

File metadata

  • Download URL: pyquac-1.1.5.tar.gz
  • Upload date:
  • Size: 19.5 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-1.1.5.tar.gz
Algorithm Hash digest
SHA256 cc4078b5e35b540f27b91dc1710c4468523677e3cd9cc9881a2216d617042496
MD5 678a35736529cc42e6638f499aea0a0e
BLAKE2b-256 5c2c2dde42cba2678dd4ce133c34c4d363cf8cdc46ed7ed524c555d3654eee3c

See more details on using hashes here.

File details

Details for the file pyquac-1.1.5-py3-none-any.whl.

File metadata

  • Download URL: pyquac-1.1.5-py3-none-any.whl
  • Upload date:
  • Size: 42.0 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-1.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 e56eaa9c180f298d16fa3b78a6456af9bfd3ac38c7b116430f16d724a50da5fc
MD5 3078d9ac893cb03a63f2076cc6cdaefe
BLAKE2b-256 62ca08e9d0d59df9399f445a849b1034976adfe8f1d8c857da5b5218dcc7254b

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