Research Areas
My PhD research areas include Quantum Artificial Intelligence, Quantum Architecture Search, Reinforcement Learning, and Multi-Agent Systems. Whereas more recently my research interests have shifted to digital transformation, automation, and AI for medical and health applications. Below you will find some topics from my PhD research.
Optimizing Variational Quantum Circuits
Exploring strategies to improve training and performance of variational quantum circuits.
Quantum Circuit Synthesis and Architecture Search
Automated methods for designing and optimizing quantum circuits.
Quantum Kernel Methods and Anomaly Detection
Leveraging quantum kernels for anomaly detection in machine learning.
Quantum Reinforcement Learning
Leveraging quantum mechanics for reinforcement learning
Talks and Posters
I have presented my research at various conferences and workshops on topics like Quantum AI, optimization techniques, and advancements in machine learning. Below you will find a selection of my presentations.
Emergent Cooperation in Quantum Multi-Agent Reinforcement Learning Using Communication
May 24th, 2026 @ ICC - Glasgow, Scotland
Quantum Artificial Intelligence and Optimization 2026
March 8th, 2026 @ QAIO 2026 - Marbella, Spain
Investigating the Lottery Ticket Hypothesis for Variational Quantum Circuits
March 5th, 2026 @ ICAART - Marbella, Spain
Quantum Architecture Search for Solving Quantum Machine Learning Tasks
March 5th, 2026 @ ICAART - Marbella, Spain
Evaluating Mutation Techniques in Genetic Algorithm-Based Quantum Circuit Synthesis
July 14 - 18, 2025 @ GECCO - Málaga, Spain
Quantum Artificial Intelligence and Optimization 2025
February 24th, 2025 @ QAIO 2025 - Porto, Portugal