Add pipeline tag, library name and link to project page

README.md

@@ -6,20 +6,23 @@ tags:
 - quantum-information
 - quantum-circuits
 - genQC
+pipeline_tag: other
+library_name: genQC
 ---
 
 # Compile discrete-continuous quantum circuits 3 to 5 qubits
 
 Paper: ["Synthesis of discrete-continuous quantum circuits with multimodal diffusion models"](https://www.arxiv.org/abs/2506.01666).
 
-![](https://github.com/FlorianFuerrutter/genQC/blob/main/src/webpage/assets/qft_4qubit_circuit_15s_wpause.gif?raw=true)
+Project page: https://florianfuerrutter.github.io/genQC/
 
+![](https://github.com/FlorianFuerrutter/genQC/blob/main/src/webpage/assets/qft_4qubit_circuit_15s_wpause.gif?raw=true)
 
 ## Key Features and limitations
 
 - Unitary compilation from **3 to 5 qubits**
 - Quantum circuits up to **32 gates**
-- Training details in the [\[paper-arxiv\]](https://www.arxiv.org/abs/2506.01666)
+- Training details in the [\\[paper-arxiv\\]](https://www.arxiv.org/abs/2506.01666)
 
 ## Usage
 
@@ -29,8 +32,7 @@ The pre-trained model pipeline can be loaded with [`genQC`](https://github.com/F
 pip install -U genQC
 ```
 
-Guides on how to use this model can be found in the [\[tutorials\]](https://florianfuerrutter.github.io/genQC/examples/tutorials.html) on the GitHub repository of [`genQC`](https://github.com/FlorianFuerrutter/genQC).
-
+Guides on how to use this model can be found in the [\\[tutorials\\]](https://florianfuerrutter.github.io/genQC/examples/tutorials.html) on the GitHub repository of [`genQC`](https://github.com/FlorianFuerrutter/genQC).
 
 ## License