Skip to main content

A Python package to integrate tensor network methods with quantum algorithms.

Project description

TN4QA

TN4QA (Tensor Networks for Quantum Algorithms) is a package designed to build workflows that use tensor network methods to assist quantum algorithms.

Installation

Install from PyPI using

pip install tn4qa \
  --extra-index-url https://block-hczhai.github.io/block2-preview/pypi/

Getting Started

From the top level of the repository you should be able to build the docs using the following

cd ./docs
make html
python3 -m http.server -d build/html 8080

so that the docs are accessible through http://localhost:8080. The documentation contains class information as well as tutorials on how to use TN4QA.

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

tn4qa-0.0.19.tar.gz (23.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tn4qa-0.0.19-py3-none-any.whl (150.3 kB view details)

Uploaded Python 3

File details

Details for the file tn4qa-0.0.19.tar.gz.

File metadata

  • Download URL: tn4qa-0.0.19.tar.gz
  • Upload date:
  • Size: 23.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.11 {"installer":{"name":"uv","version":"0.10.11","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for tn4qa-0.0.19.tar.gz
Algorithm Hash digest
SHA256 23b29de7eb87a5c85108cfa21393112ec9404bb7118d4b072cb13b9bda80a125
MD5 d0dd770c1722e9ea2e84556ea3fb73c7
BLAKE2b-256 b9a761130879c43c43f4adc52510fc26cc9268836f6a7c91e6b6f4537f2c14ff

See more details on using hashes here.

File details

Details for the file tn4qa-0.0.19-py3-none-any.whl.

File metadata

  • Download URL: tn4qa-0.0.19-py3-none-any.whl
  • Upload date:
  • Size: 150.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.11 {"installer":{"name":"uv","version":"0.10.11","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for tn4qa-0.0.19-py3-none-any.whl
Algorithm Hash digest
SHA256 c17a5503ed20a1e927c9497119806edf29a781d4d0ae3aa801c15737e37e749b
MD5 9da417509600da96114321816f08bde2
BLAKE2b-256 82df99738e6deb226aa3b8193663de0f692a1e4716e6497563d18622e28b9714

See more details on using hashes here.

Supported by

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