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-0.0.7.tar.gz (8.0 kB view details)

Uploaded Source

Built Distribution

pyquac-0.0.7-py3-none-any.whl (20.9 kB view details)

Uploaded Python 3

File details

Details for the file pyquac-0.0.7.tar.gz.

File metadata

  • Download URL: pyquac-0.0.7.tar.gz
  • Upload date:
  • Size: 8.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.9.6

File hashes

Hashes for pyquac-0.0.7.tar.gz
Algorithm Hash digest
SHA256 86214b7b6813f84a123e9bb13ce8e9d67479ebdf3b2b60021b1aae9bbb648eef
MD5 674031168451a59a570705e0c381cd9a
BLAKE2b-256 61e09fbacb6b0cf12dd4b4d2c919270087d504f1271adef104485176f58b06d1

See more details on using hashes here.

File details

Details for the file pyquac-0.0.7-py3-none-any.whl.

File metadata

  • Download URL: pyquac-0.0.7-py3-none-any.whl
  • Upload date:
  • Size: 20.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.9.6

File hashes

Hashes for pyquac-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 124e37cd5bc651c37001103536c577372524bd710677c4b97b380977127cbc27
MD5 9c4ebab8164f741a8992602dbdd648d3
BLAKE2b-256 882ef44d1a23d9c89686ce507a396ad75d68b4b53f9063b01229f2a0e6dff097

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