Qandle: PyTorch-native quantum state-vector simulator
Built and maintain a simulator stack for hybrid quantum-classical workflows, with reproducible experiments and practical documentation.
v0.4.2 · MIT · PythonOpen Qandle docs ↗
The short version, in three columns.
I'm a PhD candidate at LMU Munich, sitting between two labs that don't usually talk to each other. I try to publish enough to justify the coffee consumption.
QAR (Quantum Applications and Research Laboratory) and AIONA (Artificial Intelligence for Optimization, Nutrition and Applied Health Laboratory) at LMU Munich.
Two labs, one desk.
Qandle, LLM-agent optimization, and applied AI systems.
Mostly Python after midnight.
- Python
- PyTorch
- PennyLane
- Qandle
- NextJS
- Astro
- Expo
Plus whatever the paper needs.
Three research lines. One simulator. A few papers.
Each line is its own thing — different collaborators, different deadlines, different conferences. They share a desk and a coffee budget.
Optimization of software-engineering agents
Research on RL-based optimization for LLM-assisted software engineering systems, focused on measurable and controllable improvement.
AIONA: personalized support for nutrition and health
Applied AI work in health and nutrition contexts, including recommendation and decision-support pipelines grounded in real user needs.
AIONA · TRAIL LabOpen project ↗
What ended up on arXiv.
The full bibliography is below, grouped by year. Three picks I'd send a stranger first are highlighted on top.
// featured2026
Quantum King-Ring Domination in Chess: A QAOA Approach
Gerhard Stenzel, Michael Kölle, Tobias Rohe, Julian Hager, Leo Sünkel, Maximilian Zorn, Claudia Linnhoff-Popien
// featured2025
A General Genetic Algorithm Using Natural Language Evolutionary Operators
Gerhard Stenzel, Sarah Gerner, Michael Kölle, Maximilian Zorn, Thomas Gabor
// featured2024
Qandle: Accelerating state vector simulation using gate-matrix caching and circuit splitting
Gerhard Stenzel, Sebastian Zielinski, Michael Kölle, Philipp Altmann, Jonas Nüßlein, Thomas Gabor
2026arXiv
Emergent Cooperation in Quantum Multi-Agent Reinforcement Learning Using Communication
Michael Kölle, Christian Reff, Leo Sünkel, Julian Hager, Gerhard Stenzel, Claudia Linnhoff-Popien
2026arXiv
Illustration of Barren Plateaus in Quantum Computing
Gerhard Stenzel, Tobias Rohe, Michael Kölle, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien
2025Proceedings
A General Genetic Algorithm Using Natural Language Evolutionary Operators
Gerhard Stenzel, Sarah Gerner, Michael Kölle, Maximilian Zorn, Thomas Gabor
2025preprint
Efficient Formulation and Quantum Optimization of Combinatorial Problems through Parametrized Hamiltonians
Tobias Rohe, Federico Harjes Ruiloba, Markus Baumann, Gerhard Stenzel, Jonas Stein, Claudia Linnhoff-Popien
2025Proceedings
Evaluating Mutation Techniques in Genetic-Algorithm-Based Quantum Circuit Synthesis
Michael Kölle, Tom Bintener, Maximilian Zorn, Gerhard Stenzel, Leo Sünkel, Thomas Gabor, Claudia Linnhoff-Popien
2025QAI
Evolutionary-Based Circuit Optimization for Distributed Quantum Computing
Leo Sünkel, Jonas Stein, Gerhard Stenzel, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien
2025arXiv
PIMAEX: Multi-Agent Exploration through Peer Incentivization
Michael Kölle, Johannes Tochtermann, Julian Schönberger, Gerhard Stenzel, Philipp Altmann, Claudia Linnhoff-Popien
2025preprint
QMamba: Quantum Selective State Space Models for Text Generation
Gerhard Stenzel, Michael Kölle, Tobias Rohe, Maximilian Balthasar Mansky, Jonas Nüßlein, Thomas Gabor
2025Proceedings
Quantum circuit construction and optimization through hybrid evolutionary algorithms
Leo Sünkel, Philipp Altmann, Michael Kölle, Gerhard Stenzel, Thomas Gabor, Claudia Linnhoff-Popien
2025QCE
Solving graph problems using permutation-invariant quantum machine learning
Maximilian Balthasar Mansky, Tobias Rohe, Gerhard Stenzel, Leo Sünkel, Alejandro Bravo de la Serna, Santiago Londoño Castillo, Gautham Sathish, Dimitra Nikolaidou, Dmytro Bondarenko, Linus Menzel, Claudia Linnhoff-Popien
2024QSW
A study on optimization techniques for variational quantum circuits in reinforcement learning
Michael Kölle, Timo Witter, Tobias Rohe, Gerhard Stenzel, Philipp Altmann, Thomas Gabor
2024arXiv
Optimizing Sensor Redundancy in Sequential Decision-Making Problems
Jonas Nüßlein, Maximilian Zorn, Fabian Ritz, Jonas Stein, Gerhard Stenzel, Julian Schönberger, Thomas Gabor, Claudia Linnhoff-Popien
2024arXiv
Qandle: Accelerating state vector simulation using gate-matrix caching and circuit splitting
Gerhard Stenzel, Sebastian Zielinski, Michael Kölle, Philipp Altmann, Jonas Nüßlein, Thomas Gabor
2024QSW
Quantum denoising diffusion models
Michael Kölle, Gerhard Stenzel, Jonas Stein, Sebastian Zielinski, Björn Ommer, Claudia Linnhoff-Popien
2024International
SEGym: optimizing large language model assisted software engineering agents with reinforcement learning
Gerhard Stenzel, Kyrill Schmid, Michael Kölle, Philipp Altmann, Marian Lingsch-Rosenfeld, Maximilian Zorn, Tim Bücher, Thomas Gabor, Martin Wirsing, Lenz Belzner