Publications

Publications are listed in reverse chronological order. For the latest work, see Google Scholar.

2026

  1. Hardware-aware QUBO Reformulation of Constrained Binary Optimization via the Walsh-Fourier Transform
    Loong Kuan Lee, Harsha Nagarajan, Thore Gerlach, and 3 more authors
    2026
  2. Position: The Logical Next Step for Efficient AI
    Lino Gerlach, Thore Gerlach, Liv Våge, and 3 more authors
    2026
  3. theissinger2026beyond.PNG
    Beyond Reinforcement Learning: Fast and Scalable Quantum Circuit Synthesis
    Lukas Theißinger, Thore Gerlach, David Berghaus, and 1 more author
    arXiv preprint arXiv:2602.15146, 2026
    arXiv
  4. gerlach2026warp.PNG
    WARP Logic Neural Networks
    Lino Gerlach, Thore Gerlach, Liv Våge, and 2 more authors
    arXiv preprint arXiv:2602.03527, 2026
    arXiv

2025

  1. gerlach2025hardware.PNG
    Hardware-Aware Quantum Optimization
    Thore Gerlach
    Rheinische Friedrich-Wilhelms-Universität Bonn, 2025
    HTML
  2. gerlach2025quantum.jpg
    Quantum Boltzmann Machines for Sample-Efficient Reinforcement Learning
    Thore Gerlach, Michael Schenk, and Verena Kain
    arXiv preprint arXiv:2511.04856, 2025
    arXiv
  3. mucke2025quadratic.jpg
    Quadratic Continuous Quantum Optimization
    Sascha Mücke, Thore Gerlach, and Nico Piatkowski
    In Proceedings of the 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI), 2025
    DOI arXiv
  4. gerlach2025kernel.jpg
    Kernel k-Medoids as General Vector Quantization
    Thore Gerlach, Sascha Mücke, and Christian Bauckhage
    In Proceedings of the 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI), 2025
    DOI arXiv
  5. lee2025multi.jpg
    Multi-Objective Quantum Power System Redispatch
    Loong Kuan Lee, Thore Gerlach, Johannes Knaute, and 5 more authors
    In Proceedings of the 12th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2025
    DOI arXiv
  6. mucke2025quantum.jpg
    Quantum Adiabatic Generation of Human-Like Passwords
    Sascha Mücke, Raoul Heese, Thore Gerlach, and 3 more authors
    In Proceedings of the2025 IEEE International Conference on Quantum Computing and Engineering (QCE), 2025
    DOI
  7. gerlach2025dynamic.PNG
    Dynamic Range Reduction via Branch-and-Bound
    Thore Gerlach and Nico Piatkowski
    In Proceedings of the 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), 2025
    DOI arXiv
  8. lee2025standardization.jpg
    Standardization of Multi-Objective QUBOs
    Loong Kuan Lee, Thore Gerlach, and Nico Piatkowski
    In Proceedings of the 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), 2025
    DOI arXiv
  9. mucke2025qubolite.jpg
    QUBOLite: A lightweigth Python toolkit for QUBO
    Sascha Mücke, Thore Gerlach, Nico Piatkowski, and 1 more author
    arXiv preprint arXiv:2509.21321, 2025
    arXiv
  10. heese2025explaining.jpg
    Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
    Raoul Heese, Thore Gerlach, Sascha Mücke, and 3 more authors
    Quantum Machine Intelligence, 2025
    DOI arXiv
  11. mucke2025optimum.jpg
    Optimum-Preserving QUBO Parameter Compression
    Sascha Mücke, Thore Gerlach, and Nico Piatkowski
    Quantum Machine Intelligence, 2025
    DOI arXiv
  12. gerlach2025hybrid.PNG
    Hybrid Quantum-Classical Multi-Agent Pathfinding
    Thore Gerlach, Loong Kuan Lee, Frédéric Barbaresco, and 1 more author
    In Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025
    arXiv HTML

2024

  1. gerlach2024quantum.jpg
    Quantum Optimization for FPGA-Placement
    Thore Gerlach, Stefan Knipp, David Biesner, and 3 more authors
    In Proceedings of the 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), 2024
    DOI
  2. gerlach2024investigating.jpg
    Investigating the relation between problem hardness and qubo properties
    Thore Gerlach and Sascha Mücke
    In Proceedings of the 22nd International Symposium on Intelligent Data Analysis (IDA), 2024
    DOI arXiv
  3. gerlach2024fpga.PNG
    FPGA-Placement via Quantum Annealing
    Thore Gerlach, Stefan Knipp, David Biesner, and 3 more authors
    In Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA), 2024
    DOI arXiv

2023

  1. mucke2023efficient.jpg
    Efficient Light Source Placement using Quantum Computing
    Sascha Mücke and Thore Gerlach
    In Proceedings of the 2023 Lernen, Wissen, Daten, Analysen Conference (LWDA), 2023
    DOI arXiv
  2. heese2023shapley.jpg
    Shapley Values with Uncertain Value Functions
    Raoul Heese, Sascha Mücke, Matthias Jakobs, and 2 more authors
    In Proceedings of the 21th Symposium on Intelligent Data Analysis (IDA), 2023
    DOI arXiv

2022

  1. biesner2022solving.jpg
    Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis
    David Biesner, Thore Gerlach, Christian Bauckhage, and 2 more authors
    In Proceedings of the 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022
    DOI arXiv
  2. piatkowski2022towards.jpg
    Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning
    Nico Piatkowski, Thore Gerlach, Romain Hugues, and 3 more authors
    In Proceedings of the 25th International Conference on Information Fusion (FUSION), 2022
    DOI arXiv
  3. gerlach2022qubos.jpg
    QUBOs for Sorting Lists and Building Trees
    Christian Bauckhage, Thore Gerlach, and Nico Piatkowski
    arXiv preprint arXiv:2203.08815, 2022
    arXiv

2021

  1. gerlach2021knowledge.PNG
    Policy Rollout Action Selection with Knowledge Gradient for Sensor Path Planning
    Thore Gerlach, Folker Hoffmann, and Alexander Charlish
    In Proceedings of the 24th International Conference on Information Fusion (FUSION), 2021
    DOI