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

The author of this package has not provided a project description

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-1.0.1.tar.gz (22.5 kB view details)

Uploaded Source

Built Distribution

pyqtorch-1.0.1-py3-none-any.whl (15.4 kB view details)

Uploaded Python 3

File details

Details for the file pyqtorch-1.0.1.tar.gz.

File metadata

  • Download URL: pyqtorch-1.0.1.tar.gz
  • Upload date:
  • Size: 22.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.25.1

File hashes

Hashes for pyqtorch-1.0.1.tar.gz
Algorithm Hash digest
SHA256 4fc8fcadc10d8e708515912fed6a60e1c899797f6dce70766209118f34ade7d4
MD5 4e836eed69e89b937c3d7a3dd0bc4c58
BLAKE2b-256 66f6ec794f816cfd697f67a42c8241329d50f46c364f8dccf9531b7cbc712379

See more details on using hashes here.

File details

Details for the file pyqtorch-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: pyqtorch-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 15.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.25.1

File hashes

Hashes for pyqtorch-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 9c89b663c5ada5cb15e686a035bb0f7b4adfdb338bd6ef9538c431c39c82bed1
MD5 9e4891a45ac81d29221e1247c4f0b8d1
BLAKE2b-256 a7d455c42c7478b20e26742a5c2602e7611ee7b783f1815b20093afb4d889cb1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page