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-0.0.14.tar.gz (23.2 MB view details)

Uploaded Source

Built Distribution

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

tn4qa-0.0.14-py3-none-any.whl (148.8 kB view details)

Uploaded Python 3

File details

Details for the file tn4qa-0.0.14.tar.gz.

File metadata

  • Download URL: tn4qa-0.0.14.tar.gz
  • Upload date:
  • Size: 23.2 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-0.0.14.tar.gz
Algorithm Hash digest
SHA256 79bf54a5272d96b2e6782ed4822a523efdf9b7c1d59bd463f0d2d762763ac0c1
MD5 2a811c1a833e0351ca75051d484c2b8c
BLAKE2b-256 59c36caf8ba23128c95ce4c10acc0636e0f13c289b3eb5ee1771a884588d76c8

See more details on using hashes here.

File details

Details for the file tn4qa-0.0.14-py3-none-any.whl.

File metadata

  • Download URL: tn4qa-0.0.14-py3-none-any.whl
  • Upload date:
  • Size: 148.8 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-0.0.14-py3-none-any.whl
Algorithm Hash digest
SHA256 23bd18b03af10d42adb1611aafe6bc94538c27706c8087ab22c4df2841cafbe7
MD5 64eb355909e3f84239606986e74e15e3
BLAKE2b-256 a2ab6933d3097a97430a11496652b6b5c9474fe010fba1d1d3c1865c0b2615ff

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