Doctoral Research · LMU Munich
Quantum ML, agents, applied AI.
I write quantum circuits that run on classical hardware, train agents to write better code, and build AI that keeps people healthier. Not necessarily in that order.
About
Three research lines. One simulator. A few papers.
I'm a PhD candidate at LMU Munich, split across QAR (quantum ML) and AIONA (applied AI for health). I build research-driven tools — Qandle being the main one — and try to publish enough to justify the coffee consumption.
Selected Contributions
What I'm building — and where to find it.
Publications
The work, for the record.
Representative papers from each research area. Full bibliography and citation export below.
Featured
| Publication | Actions |
|---|---|
Emergent Cooperation in Quantum Multi-Agent Reinforcement Learning Using Communication | |
Illustration of Barren Plateaus in Quantum Computing | |
Quantum King-Ring Domination in Chess: A QAOA Approach | |
Reinforcement Learning for Parameterized Quantum State Preparation: A Comparative Study | |
A General Genetic Algorithm Using Natural Language Evolutionary Operators | |
Evaluating Mutation Techniques in Genetic-Algorithm-Based Quantum Circuit Synthesis | |
Evolutionary-Based Circuit Optimization for Distributed Quantum Computing | |
PIMAEX: Multi-Agent Exploration through Peer Incentivization | |
QMamba: Quantum Selective State Space Models for Text Generation | |
Quantum circuit construction and optimization through hybrid evolutionary algorithms | |
Solving graph problems using permutation-invariant quantum machine learning | |
Topology-Guided Quantum GANs for Constrained Graph Generation | |
A study on optimization techniques for variational quantum circuits in reinforcement learning | |
Optimizing Sensor Redundancy in Sequential Decision-Making Problems | |
Qandle: Accelerating state vector simulation using gate-matrix caching and circuit splitting | |
Quantum denoising diffusion models | |
SEGym: optimizing large language model assisted software engineering agents with reinforcement learning | |
Self-Adaptive Robustness of Applied Neural-Network-Soups | |
Self-Replicating Prompts for Large Language Models: Towards Artificial Culture | |
Efficient Formulation and Quantum Optimization of Combinatorial Problems through Parametrized Hamiltonians |
Connect
Find me, cite me, or read the docs.
Papers on Scholar, code on GitHub, docs at Qandle. Pick the one that fits.
