Home - LILY-QML/LLY-DML GitHub Wiki
Welcome to LLY-DML WIKI
LLY-DML is part of the LILY Project and focuses on optimization parameter-based quantum circuits. It enhances the efficiency of quantum algorithms by fine-tuning parameters of quantum gates. DML stands for Differentiable Machine Learning, emphasizing the use of gradient-based optimization techniques to improve the performance of quantum circuits.
LLY-DML is available on the LILY QML platform, making it accessible for researchers and developers.
For inquiries or further information, please contact: [email protected].
This wiki is structured as follows:
Contributors
Leading
Role | Name | Links |
---|---|---|
Project Lead | Leon Kaiser | ORCID, GitHub |
Inquiries and Management | Raul Nieli | |
Supporting Contributors | Eileen Kühn | GitHub, KIT Profile |
Supporting Contributors | Max Kühn | GitHub |
Other Contributors
Contributor | Role | Contribution |
---|---|---|
Clausia | Support in Development | General development support |
MrGilli | Support in Quplexity DML Version | Quplexity DML Development |
Supercabb | Support in Code Development | Codebase contributions |
Userlenn | Support in Code Development | Codebase contributions |