Isabel Nha Minh Le, M.Sc.

About myself

Since 2023 I am a research associate and doctoral candidate in the Quantum Computing Group of Prof. Mendl. Before, I have obtained a B.Sc. and M.Sc. in Physics from RWTH Aachen University, where I have set a focus on Quantum Technologies. Have a look at my LinkedIn profile for my previous work experiences.

Currently, I am interested in topics of quantum algorithms for quantum chemistry, tensor network methods, and (quantum) machine learning.

If you are interested in working with me, feel free to send me an e-mail with some information about your research interest, technical background and CV. Open student projects are listed on our group's website.

Publications

Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, and Francesco Tacchino: Symmetry-invariant quantum machine learning force fields. arXiv:2311.11362.

Isabel Nha Minh Le, Julian D. Teske, Tobias Hangleiter, Pascal Cerfontaine, and Hendrik Bluhm: Analytic Filter-Function Derivatives for Quantum Optimal Control. Phys. Rev. Applied 17, 024006 (2022). , arxiv:2103.09126.

See my Google Scholar for a complete list.

Talks and conferences

Symmetry-invariant quantum machine learning force fields. Invited talk. QAISG QML Seminar Singapore 2024, Online.

Symmetry-invariant quantum machine learning force fields. Long talk. Quantum Techniques in Machine Learning 2023, CERN.

Teaching

• Tutorial: Introduction to Quantum Computing - WiSe 2023/2024, WiSe 2024/2025
• Seminar: Advanced Topics of Quantum Computing - WiSe 2023/2024, SuSe 2024, WiSe 2024/2025
• Seminar: Science & Ethics - WiSe 2024/2025