Irene López Gutiérrez, M.Sc.

Technische Universität München

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

Office: MI 02.05.043
Mail: irene.lopez (at) 

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



  • 2014-2018: MSci. Theoretical Physics, University College London
  • 2018-2019: Research associate, Technical University of Dresden
  • 2019-Present: Research associate/PhD candidate, Technical University of Munich

Research interests

  • Quantum Computing
  • Quantum many-body systems
  • Machine Learning
  • Quantum Chemistry


  • Tutorial: Algorithms for Scientific Computing II - WiSe 2019/2020
  • Tutorial: Introduction to Quantum Computing - SoSe 2020, WiSe 2020/2021, SoSe 2021, WiSe 2021/2022
  • Seminar: Advanced Topics of Quantum Computing - SoSe 2020, WiSe 2020/2021, SoSe 2021, WiSe 2021/2022
  • Tutorial: Tensor Networks - SoSe 2021
  • Tutorial: Advanced Concepts of Quantum Computing - SoSe 2022

Open and Running Student Projects

Open Student Projects

Topics change with my ongoing work and depend mostly on the interests and experience of the student. Therefore, it is always helpfull to contact me to discuss potential thesis topics.

Running Student Projects

Finished Student Projects


  • Arda Nacar: Quantum Algorithms for Constraint Satisfaction Problems. Bachelorarbeit, 2023 mehr…


  • Burak Mete: A Novel Approach for Solving Constrained Optimization Problems with QAOA using Encoders. Masterarbeit, 2022 mehr…
  • Theodora-Augustina Dragan: Quantum Kernels and Applications. Studienarbeit, 2022 mehr…


  • Amr Ibrahim: Machine Learning Techniques for Simulating Quantum Dynamics. Masterarbeit, 2021 mehr…
  • Burak Mete: Hamiltonian Simulation using Quantum Autoencoders. Studienarbeit, 2021 mehr…
  • Daniil Teplitskiy: Quantum Process Tomography of Spin Glasses via time-delayed measurements. Bachelorarbeit, 2021 mehr…
  • Iulia-Otilia Mustea: Quantum dynamics simulations with GPU support. Masterarbeit, 2021 mehr…
  • Johanna Franziska Schinabeck: Classification of Ising Phases for the Purpose of Transfer Learning Using Neural Networks. Bachelorarbeit, 2021 mehr…
  • Ryan Novak: Transfer Learning in the Context of Quantum Dynamics Simulations. Masterarbeit, 2021 mehr…


  • Irene López Gutiérrez, Christian B. Mendl: Real time evolution with neural-network quantum states [arXiv:1912.08831]
  • Erickson Tjoa, Irene López Gutiérrez, Allison Sachs, Eduardo Martín-Martínez: What makes a particle detector click [arXiv:2102.05734]
  • Irene López Gutiérrez, Felix Dietrich, Christian B. Mendl: Quantum Process Tomography of Unitary Maps from Time-Delayed Measurements [arXiv:2112.09021]



  • Irene López Gutiérrez; Felix Dietrich; Christian B. Mendl: Quantum process tomography of unitary maps from time-delayed measurements. Quantum Information Processing 22 (6), 2023 mehr…


  • Burak Mete; Irene Lopez Gutierrez; Christian B. Mendl: Constrained QAOA using autoencoders. IMPRS Summer School, 2022 mehr…
  • Irene Lopez Gutierrez: Quantum Process Tomography from Time-Delayed Measurements. Variational Learning for Quantum Matter, 2022 mehr…
  • Irene Lopez Gutierrez: Constrained QAOA with autoencoders. IMPRS Summer School, 2022 mehr…


  • Irene Lopez Gutierrez; Felix Dietrich; Christian B. Mendl: Unitary quantum process tomography by time-delayed measurements. APS March Meeting 2021, 2021 mehr…


  • Irene Lopez Gutierrez; Christian B. Mendl: Real time evolution with neural network quantum states. APS March Meeting 2020 (virtual contribution), 2020 mehr…