Patrick Emonts

Junior Research Group Leader

Ulm University

Biography

I am a Junior Research Group Leader at the Institute for Complex Quantum Systems at Ulm University. My group focuses on combining quantum information with many-body quantum physics. My research is focused on numerical algorithms, especially tensor networks, and spans different fields ranging from quantum information to lattice gauge theories.

Additionally, I am a guest researcher in Leiden University, collaborating closely with the group for applied quantum algorithms (aQa).

Interests

Tensor Networks
Quantum Information
Lattice Gauge Theories
Science Communication

Education

PhD in Physics, 2022
Max-Planck Institute of Physics, TU Munich
MSc in Management, 2020
TU Munich
MSc in Physics, 2017
RWTH Aachen University
BSc in Physics, 2015
RWTH Aachen University

Education

CZS Junior Research Group Leader

Ulm University, Institute for Complex Quantum Systems

April 2025 – Present

The group focuses on the intersection of quantum information and quantum many-body physics. We are actively applying methods like tensor networks and semi-definite programming to problems ranging from lattice gauge theories to topological data analysis.

Postdoctoral Researcher

Leiden University, aQa group

January 2022 – March 2025

Focus on

Tensor Networks
Quantum Information
Lattice Gauge Theories

PhD in Physics

Max-Planck Institute of Quantum Optics, TU Munich

October 2017 – September 2022

Focus on

Tensor Networks
Lattice Gauge Theories

Thesis: “Algorithms for Hamiltonian Lattice Gauge Theories”

MSc in Management

TU Munich

October 2018 – August 2020

Thesis: “Causal Inference in Applied Economics: An Example of Naming Strategies in German Food Processing”

MSc in Physics

RWTH Aachen

September 2015 – August 2017

Focus on

quantum Monte Carlo
condensed matter physics, especially spin systems Thesis: “Monte Carlo Methods for the Quantum Ising Model on Frustrated Lattices”

BSc in Physics

RWTH Aachen

October 2012 – September 2015

Thesis: “Lateral Etching of Graphene Heterostructures”

Recent Publications

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Jan Li, Tim Coopmans, Patrick Emonts, Kenneth Goodenough, Jordi Tura, Evert van Nieuwenburg (2025). Optimising Entanglement Distribution Policies under Classical Communication Constraints Assisted by Reinforcement Learning. Machine Learning: Science and Technology.

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Felix Frohnert, Denny Lane B. Sombillo, Evert van Nieuwenburg, Patrick Emonts (2025). Learning Pole Structures of Hadronic States Using Predictive Uncertainty Estimation. arXiv.

Cite DOI arXiv

Ke Wang, Weikang Li, Shibo Xu, Mengyao Hu, Jiachen Chen, Yaozu Wu, Chuanyu Zhang, Feitong Jin, Xuhao Zhu, Yu Gao, Ziqi Tan, Zhengyi Cui, Aosai Zhang, Ning Wang, Yiren Zou, Tingting Li, Fanhao Shen, Jiarun Zhong, Zehang Bao, Zitian Zhu, Zixuan Song, Jinfeng Deng, Hang Dong, Xu Zhang, Pengfei Zhang, Wenjie Jiang, Zhide Lu, Zheng-Zhi Sun, Hekang Li, Qiujiang Guo, Zhen Wang, Patrick Emonts, Jordi Tura, Chao Song, H. Wang, Dong-Ling Deng (2025). Probing Many-Body Bell Correlation Depth with Superconducting Qubits. Physical Review X.

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Ariel Kelman, Umberto Borla, Patrick Emonts, Erez Zohar (2024). Projected Entangled Pair States for Lattice Gauge Theories with Dynamical Fermions. arXiv.

Cite DOI arXiv