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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file tn4qa-0.0.21.tar.gz.
File metadata
- Download URL: tn4qa-0.0.21.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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d93ef4205b7cb0cc2e11292ea138b0705e64bab5e13b85e18f0fc7293831addd
|
|
| MD5 |
a4f3af8fc86f2c6be53266f7e425fb1a
|
|
| BLAKE2b-256 |
c611f77abded45e28e6fecf1a0b4c77ecc4368bff62b23b3ea60784359c72971
|
File details
Details for the file tn4qa-0.0.21-py3-none-any.whl.
File metadata
- Download URL: tn4qa-0.0.21-py3-none-any.whl
- Upload date:
- Size: 154.3 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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ff16cc3e82206f0a8e15a471447108609c837c20cb4f4d2638648a191bb24b9e
|
|
| MD5 |
6ec1297a1290f41efac4e1111f90d38f
|
|
| BLAKE2b-256 |
55adff75e548a51a988b0346f515f8ac57cf914d2cec5e3f027438d0eba27428
|
