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 the dependencies using

pip install poetry
poetry install

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-0.0.10.tar.gz (27.1 MB view details)

Uploaded Source

Built Distribution

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

tn4qa-0.0.10-py3-none-any.whl (147.6 kB view details)

Uploaded Python 3

File details

Details for the file tn4qa-0.0.10.tar.gz.

File metadata

  • Download URL: tn4qa-0.0.10.tar.gz
  • Upload date:
  • Size: 27.1 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-0.0.10.tar.gz
Algorithm Hash digest
SHA256 bf769e1c0802184ceed99e2a97db0e1d019c1318ea65215c6cf4dca27b2234b6
MD5 2ea0b01396c9443854600a7daa20068b
BLAKE2b-256 405dd5a94247df4efc7ae341ab08ca510611a99c2f44dccb919669825da73f10

See more details on using hashes here.

File details

Details for the file tn4qa-0.0.10-py3-none-any.whl.

File metadata

  • Download URL: tn4qa-0.0.10-py3-none-any.whl
  • Upload date:
  • Size: 147.6 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-0.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 7e374865cee966485655ab0cc301bfc0d514c15160e7949e344192bb28f128c2
MD5 f24521ef8441904c808a1c3c866df91c
BLAKE2b-256 ddf56aa4aef54e93ca691dcc62bd3edd17bac300acc6ff8c489f4ee18e9bbaab

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