Vedran Dunjko’s research interest lies in the intersection of computer science and quantum physics, including quantum computing and quantum cryptography. Over the course of the last few years, he has been focusing on the interplay between quantum computing, machine learning, and artificial intelligence.
Vedran Dunjko joined LIACS, as a tenure-track Assistant Professor in 2018. Here, he will be investigating quantum machine learning and, more generally, work on developing the field of quantum heuristics, which promotes the connections between practical computing and quantum computing.
Vedran received his MSc degree in Mathematics and Computer Science from the University of Zagreb, Croatia, and has completed his PhD in 2012 in Theoretical Physics at Heriot-Watt University, Edinburgh, UK, working on new quantum cryptographic protocols.
After his PhD, he has held post-doctoral positions at the School of Informatics of the University of Edinburgh, Institute of Theoretical Physics of Innsbruck University, and the Theory Group of Max Planck Institute of Quantum Optics in Germany.
Since 2013, his research has focused on various aspects of quantum machine learning including the development of novel quantum algorithms for machine learning and AI problems, and the application of AI methods in quantum contexts.
For more information see Vedran's personal webpage.
- Moussa C., Calandra H. & Dunjko V. (2020), To quantum or not to quantum: towards algorithm selection in near-term quantum optimization arXiv no. 2001.08271. [Working paper].
- Moussa C., Wang H., Calandra H., Bäck T.H.W. & Dunjko V. (2020), Tabu-driven Quantum Neighborhood Samplers arXiv. [Working paper].
- Scientific advisor