Metadata-Version: 2.1
Name: qrl-graph
Version: 0.0.8
Summary: Reinforcement Learning Algorithms for the quantum speed up in graphs
Home-page: https://github.com/JiahaoYao/QRL_graph
Author: Jimmy
Author-email: jiahaoyao.math@gmail.com
License: MIT
Keywords: quantum computing,variational quantum algorithms,quantum machine learning,Reinforcement Learning,Quspin,Graph
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: matplotlib (==3.5.1)
Requires-Dist: numpy (==1.21.2)
Requires-Dist: scipy (==1.7.3)
Requires-Dist: tqdm (==4.64.0)
Requires-Dist: networkx

# QRL_graph
Reinforcement Learning for the quantum speedup in the graph

Given a graph, we try to compute the classical and quantum critical time. The definition of the criticial time is defined as the hitting time of the endpoints with the probility bigger than $p_0$. 

### Usage

```markdown
pip install qrl_graph
```


