Update README.md

README.md

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 # SimQN
 
-![Pytest](https://github.com/ertuil/SimQN/actions/workflows/pytest.yml/badge.svg) 
-![Flake8](https://github.com/ertuil/SimQN/actions/workflows/flake8.yml/badge.svg) 
+![Pytest](https://github.com/QNLab-USTC/SimQN/actions/workflows/pytest.yml/badge.svg) 
+![Flake8](https://github.com/QNLab-USTC/SimQN/actions/workflows/flake8.yml/badge.svg) 
 
 Welcome to SimQN's documentation. SimQN is a discrete-event-based network simulation platform for quantum networks.
-SimQN enables large-scale investigations, including QKD protocols, entanglement distributions protocols, and routing algorithms, resource allocation schemas in quantum networks. For example, users can use SimQN to design routing algorithms for better QKD performance. For more information, please refer to the [Documents](https://ertuil.github.io/SimQN/).
+SimQN enables large-scale investigations, including QKD protocols, entanglement distributions protocols, and routing algorithms, resource allocation schemas in quantum networks. For example, users can use SimQN to design routing algorithms for better QKD performance. For more information, please refer to the [Documents](https://qnlab-ustc.github.io/).
 
 SimQN is a Python3 library for quantum networking simulation. It is designed to be general purpose. It means that SimQN can be used for both QKD network, entanglement distribution networks, and other kinds of quantum networks' evaluation. The core idea is that SimQN makes no architecture assumption. Since there is currently no recognized network architecture in quantum network investigations, SimQN stays flexible in this aspect.
 
 SimQN provides high performance for large-scale network simulation. SimQN uses [Cython](https://cython.org/) to compile critical codes in C/C++ libraries to boost the evaluation. Also, along with the commonly used quantum state-based physical models, SimQN provides a higher-layer fidelity-based entanglement physical model to reduce the computation overhead and brings convenience for users in evaluation. Last but not least, SimQN provides several network auxiliary models for easily building network topologies, producing routing tables and managing multiple session requests.
 
 ## Get Help
 
-- This [documentation](https://ertuil.github.io/SimQN/) may answer most questions.
-    - The [tutorial](https://ertuil.github.io/SimQN/tutorials.html) here presents how to use SimQN.
-    - The [API manual](https://ertuil.github.io/SimQN/modules.html) shows more detailed information.
-- Welcome to report bugs at [Github](https://github.com/ertuil/SimQN).
+- This [documentation](https://qnlab-ustc.github.io/SimQN/) may answer most questions.
+    - The [tutorial](https://qnlab-ustc.github.io/SimQN/tutorials.html) here presents how to use SimQN.
+    - The [API manual](https://qnlab-ustc.github.io/SimQN/modules.html) shows more detailed information.
+- Welcome to report bugs at [Github](https://github.com/QNLab-USTC/SimQN).
 
 ## Installation
 
@@ -86,7 +86,7 @@ SimQN is designed as a functional and easy-to-use simulator, like [NS3](https://
 Compared with the existing quantum network simulators, the developers pay more attention to simulation in the network area. Currently, a network simulation can be complicated, as users may have to implement routing algorithms and multiply protocols in different layers to complete a simulation. SimQN aims to break down this problem by providing a modulized quantum node and reusable algorithms and protocols. As a result, users can focus on what they study and reuse other built-in modules. The developers believe this will significantly reduce the burden on our users. As for the physics area, SimQN can also simulate quantum noise, fidelity, and more. Thus, if you focus on the research of the quantum network area, SimQN can be a competitive choice. 
 
 ## How to contribute?
-Welcome to contribute through Github Issue or Pull Requests. Please refer to the [develop guide](https://ertuil.github.io/SimQN/develop.html). If you have any questions, you are welcome to contact the developers via e-mail.
+Welcome to contribute through Github Issue or Pull Requests. Please refer to the [develop guide](https://qnlab-ustc.github.io/SimQN/develop.html). If you have any questions, you are welcome to contact the developers via e-mail.
 
 ## License and Authors