Skip to main content

An efficient, large-scale emulator designed for quantum machine learning, seamlessly integrated with a PyTorch backend. Please refer to https://pyqtorch.readthedocs.io/en/latest/ for setup and usage info, along with the full documentation.

Project description

pyqtorch

pyqtorch is a PyTorch-based state vector simulator designed for quantum machine learning. It acts as the main backend for Qadence, a digital-analog quantum programming interface. pyqtorch allows for writing fully differentiable quantum programs using both digital and analog operations; enabled via a intuitive, torch-based syntax.

Linting / Tests/ Documentation License Pypi

Installation guide

pyqtorch can be installed from PyPI with pip as follows:

pip install pyqtorch

Install from source

We recommend to use the hatch environment manager to install pyqtorch from source:

python -m pip install hatch

# get into a shell with all the dependencies
python -m hatch shell

# run a command within the virtual environment with all the dependencies
python -m hatch run python my_script.py

Please note that hatch will not combine nicely with other environment managers such Conda. If you want to use Conda, install pyqtorch from source using pip:

# within the Conda environment
python -m pip install -e .

Contributing

Please refer to CONTRIBUTING to learn how to contribute to pyqtorch.

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

pyqtorch-1.4.5.tar.gz (87.0 kB view details)

Uploaded Source

Built Distribution

pyqtorch-1.4.5-py3-none-any.whl (65.5 kB view details)

Uploaded Python 3

File details

Details for the file pyqtorch-1.4.5.tar.gz.

File metadata

  • Download URL: pyqtorch-1.4.5.tar.gz
  • Upload date:
  • Size: 87.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for pyqtorch-1.4.5.tar.gz
Algorithm Hash digest
SHA256 3d4e93d42b36da2cdaa2138e0a58af493b09a2d58aa9f9e0312ddd8c1feb46b1
MD5 1986dcec5f98353dc5977983b6860ff8
BLAKE2b-256 a860c78ece3139e3fbf5bcc12f2b6745bf618751a33aed65f4570f05276a10b0

See more details on using hashes here.

File details

Details for the file pyqtorch-1.4.5-py3-none-any.whl.

File metadata

  • Download URL: pyqtorch-1.4.5-py3-none-any.whl
  • Upload date:
  • Size: 65.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for pyqtorch-1.4.5-py3-none-any.whl
Algorithm Hash digest
SHA256 a13ae99324e797a2b0a7bdbb3e531ee982336cb778eb7f5666d49b221b4e4a90
MD5 9fb3a6d326c5ae50f5d198c5972160d9
BLAKE2b-256 3ef8d192f2f80dcb6137144bae312e05680e448b435865cd485e7a5d7400d99b

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