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-0.4.3.tar.gz (399.8 kB view details)

Uploaded Source

Built Distribution

pyqtorch-0.4.3-py3-none-any.whl (37.9 kB view details)

Uploaded Python 3

File details

Details for the file pyqtorch-0.4.3.tar.gz.

File metadata

  • Download URL: pyqtorch-0.4.3.tar.gz
  • Upload date:
  • Size: 399.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.23.3

File hashes

Hashes for pyqtorch-0.4.3.tar.gz
Algorithm Hash digest
SHA256 fcb74d2c6212a11c1f7416ab5f5890c4354b1f43f55be5b2b05e636e296303ec
MD5 c83b185a86f07f310a4a313a579c20cd
BLAKE2b-256 191bad0832eabef777dd4ab0c116d625db7041fc9beec6fd6eb8afde7b17575a

See more details on using hashes here.

File details

Details for the file pyqtorch-0.4.3-py3-none-any.whl.

File metadata

  • Download URL: pyqtorch-0.4.3-py3-none-any.whl
  • Upload date:
  • Size: 37.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.23.3

File hashes

Hashes for pyqtorch-0.4.3-py3-none-any.whl
Algorithm Hash digest
SHA256 2e0c66e4c6e398736ed88c6cfd8d1502325523597932d38c3cb9f06fecfff6ce
MD5 84c94a2033aef527cac9748ad33a128e
BLAKE2b-256 8936eb3093e0bb70c2af4ae9d530ff0945464d17b64a2d6eea46dd1dbf7b2117

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