Quantum Hamiltonian-Based Models built on TensorFlow Quantum
Project description
QHBM Library
This repository is a collection of tools for building and training Quantum Hamiltonian-Based Models. These tools depend on TensorFlow Quantum, and are thus compatible with both real and simulated quantum computers.
Installation instructions and contribution instructions can be found in the docs folder.
This is not an officially supported Google product.
Project details
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
Close
Hashes for qhbmlib-0.3.0.dev20220331214216.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | af1cce4b35a966ce2eb23c1c6ed04c155d2f4248488d97aa675a932a0654a5d8 |
|
MD5 | dce42479da4c13a650bf5bb8eaceb727 |
|
BLAKE2b-256 | 0b4050c505c9cb26dedebab69b533074fc2f2c77ebbcfa68b1a2f5a3a28a63f3 |
Close
Hashes for qhbmlib-0.3.0.dev20220331214216-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e50d0f9d72efa18b223cbb8fd71578edafc7cdf16dc88f867edf0778d51ef412 |
|
MD5 | 6622d701ac70994260669df5687995bd |
|
BLAKE2b-256 | db3c6528d71acd8c913a01ee5fb8ea074c50cd5b27d9681b4050c3a8f74fe656 |