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-0.0.9.tar.gz (8.1 kB view details)

Uploaded Source

Built Distribution

pyquac-0.0.9-py3-none-any.whl (10.7 kB view details)

Uploaded Python 3

File details

Details for the file pyquac-0.0.9.tar.gz.

File metadata

  • Download URL: pyquac-0.0.9.tar.gz
  • Upload date:
  • Size: 8.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.5.0.1 requests/2.23.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.4

File hashes

Hashes for pyquac-0.0.9.tar.gz
Algorithm Hash digest
SHA256 506d4080f10186117501b057421c4555f80ad854a4c8229d78e49eb1dbcc7667
MD5 b9d0ea8a83c41657e1a87c1a07b5a4b3
BLAKE2b-256 4d0e7277af894166b3983666f792e1fb4e668fef9ff92faf6201121d00b36872

See more details on using hashes here.

File details

Details for the file pyquac-0.0.9-py3-none-any.whl.

File metadata

  • Download URL: pyquac-0.0.9-py3-none-any.whl
  • Upload date:
  • Size: 10.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.5.0.1 requests/2.23.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.4

File hashes

Hashes for pyquac-0.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 a68276a9f346c927d2aec49ef6196f6166d3c6b335a47896eaad616a4b990b80
MD5 de11dcd521a0f553113ec1fb99c2648a
BLAKE2b-256 17e4d442139b25c70937d10d85860db5b9dce6db42796acc2e80db14688902e0

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