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.
Improving Convergence for Quantum Variational Classifiers using Weight Re-Mapping
26. February 2023 @ ICAART 2023 - Lisbon, Portugal
Learning to Participate through Trading of Reward Shares
25. February 2023 @ ICAART 2023 - Lisbon, Portugal
Compression of GPS Trajectories using Autoencoders
25. February 2023 @ ICAART 2023 - Lisbon, Portugal
React Redux
27. May 2022 @ LMU Munich