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-1.4.2.tar.gz (84.7 kB view details)

Uploaded Source

Built Distribution

pyqtorch-1.4.2-py3-none-any.whl (64.6 kB view details)

Uploaded Python 3

File details

Details for the file pyqtorch-1.4.2.tar.gz.

File metadata

  • Download URL: pyqtorch-1.4.2.tar.gz
  • Upload date:
  • Size: 84.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for pyqtorch-1.4.2.tar.gz
Algorithm Hash digest
SHA256 118991aba54fad51997746a4da44fb6d98f732455b5f14fb8e0731222c47e9f8
MD5 9aaf03529e6dcce14d1ccdd32deb20ea
BLAKE2b-256 3bc7ed0bbdf2d0a7651f0a639a2cb3632e26e2de99ca1c0d99b695d122b01b67

See more details on using hashes here.

File details

Details for the file pyqtorch-1.4.2-py3-none-any.whl.

File metadata

  • Download URL: pyqtorch-1.4.2-py3-none-any.whl
  • Upload date:
  • Size: 64.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for pyqtorch-1.4.2-py3-none-any.whl
Algorithm Hash digest
SHA256 6dfb5c1fe3f8aa17b68d7c54ca9c017a392f9f96ad37a301d19a8f50cd5ea4d8
MD5 ea83f6f2d7952cabf343b497a5cb0660
BLAKE2b-256 6e45bd603401ab8218ed7f221228ed30691bfc69046c3d1ff62fd8173e67bb50

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