Richard Milbradt, M.Sc.

Background

• 2022-present: PhD candidate, Technical University of Munich, Munich Quantum Valley K8-HAT (Hardware Adapted Theory)
• 2023-present: Administration of the BMBF-Project "Quantenträume" for the PushQuantum e.V.
• 2019-2021: M.Sc.Theoretical and Mathematical Physics, Ludwig-Maximilians-University Munich and Technical University of Munich
• 2016-2019: B.Sc. Physics, Heinrich-Heine-University Düsseldorf

Research Interests

• Quantum many-body physics
• Tensor Networks
• Quantum Cellular Automata
• Open Quantum Systems
• Science Communication of Quantum Physics

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 or check our group's page on open student projects.

Running Student Projects

• Pouriya Haji Ghadimi: Master Thesis exploring Tree Tensor Network Time-Evolution Algorithms
• Taha Zaffar Syed: Master Thesis on the DAMPF algorithm for non-Markovian quantum systems

• Hazar Çakır: Master Thesis on Optimising state diagrams for tree tensor network operator construction

• Juxhin Allaisufi: Master Thesis on Quantum Gate Simulation Using Tree Tensor Networks
• Yigit Serbest: Bachelor Thesis on Variational fitting of the bath correlation function sum expansion

Completed Student Projects

• Aarons Sanders: A Stochastic Tensor Network Method for Simulating Open Quantum Systems (Master Thesis 2022)
• Benjamin Decker: Implementation of a Classical Simulation of Quantum Cellular Automata on 1-D Lattices and using it to Improve the Tensor Network Algorithm TDVP (Guided Research 2022/2023)
• Mihail Stoian: On the Optimal Linear Contraction Order of Tree Tensor Networks, and Beyond (Master Thesis 2022/2023)
• Benjamin Sappler: Benchmarking a Tensor Network Algorithm for the HOPS-Method to Simulate Open non-Markovian Quantum Sytems (Bachelor Thesis 2023)
• Lion Frangoulis: Efficient Path-Integral Computation of Correlation Functions for Perturbed Ternary Unitary Circuits (Master Thesis 2022/2023)
• Julien Kollmann: Using the Time Dependent Variational Principle for Tree Tensor Networks to Simulate Single-Qubit Quantum Error Correction (Master Thesis 2023)
• Emiliano Godinez Ramirez: A Riemannian Approach to the Lindbladian Dynamics of a Locally Purified Tensor Network (Master Thesis 2023/2024)
• Hazar Çakır: Optimal Construction of Matrix Product Operators and Tree Tensor Network Operators (Guided Research 2023/2024)

• Jeremiah Bintang Santoso: Investigation of the controlled bond expansion time-dependent variational principle for open quantum systems (Guided Research 2023/2024)

• Madhav Menon: A Stochastic Tensor Network Approach for Non-Markovian Dissipative Dynamics of Quantum Impurity Models (Bachelor Thesis 2023/2024)

• Benedict Blaschko: Comparing Different Decomposition Methods to Approximate the Exponential Sum Bath Correlation Function (Bachelor Thesis 2024)

• Benjamin Decker: Creating a Quantum Analogue to an Arbitrary Classical Elementary Cellular Automaton (Master Thesis 2024)