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Technical University of Munich
Technical University of Munich

Isabel Nha Minh Le, M.Sc.

Technische Universität München

TUM School of CIT
Department of Computer Science
Boltzmannstrasse 3
85748 Garching
Germany

Office: MI 02.05.043
Mail: isabel.le (at) tum.de 

Tel: +49-89-289-18636
Fax: +49-89-289-18607
Office Hours: by arrangement

 

Background

  • 2023-Present: Research associate/ PhD candidate, Technical University of Munich, Germany
  • 2021-2023: M.Sc. in Physics, RWTH Aachen University, Germany
    • Thesis: Quantum Machine Learning Force Fields, IBM Quantum at IBM Research Europe - Zurich, Switzerland
  • 2016-2020: B.Sc. in Physics, RWTH Aachen University, Germany
    • Winter 2018/19: Semester abroad at University of Surrey, United Kingdom
    • Summer 2019: Semester abroad at National Taiwan University, Taiwan
    • Thesis: Filter Function Derivatives for Quantum Optimal Control, JARA Institute for Quantum Information, Germany

Research interests

  • Quantum Algorithms
  • Quantum Chemistry
  • (Quantum) Machine Learning

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.

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
  • Seminar: Advanced Topics of Quantum Computing - WiSe 2023/2024
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