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| Quantum Machine Learning: Theory and Practice in Action |
| DR. MELNIKOV, Alexey |
| Terra Quantum |
| Alexey Melnikov is the Global Director of AI at Terra Quantum AG, a full-stack quantum technology company in St. Gallen, Switzerland, where he leads its applied quantum-machine-learning programme. He obtained his Ph.D. in Physics from the University of Innsbruck, Austria, in 2018, working at the intersection of physics and machine learning, including quantum machine learning. He then held postdoctoral positions at the University of Innsbruck (2018–2019) and the University of Basel, Switzerland (2019–2020), and served as a Visiting Assistant Professor at National Tsing Hua University, Hsinchu, Taiwan. In 2019, Alexey and his co-authors received the prestigious Cozzarelli Prize of the National Academy of Sciences of the USA for the best scientific work of 2018 in the Physical and Mathematical Sciences. In recognition of his standing in the field, he was appointed in 2025 a Commissioner of the von Neumann Commission — an independent international commission of leaders from industry, government and academia, that examines how quantum computing can accelerate artificial intelligence and shape grand strategy in the 21st century. Since 2020 at Terra Quantum, he has built and led a team developing hybrid quantum neural-network software, with peer-reviewed applications spanning oncology drug-response prediction (Cancers, 2023), image classification (Machine Learning: Science and Technology, 2024), satellite mission planning (IEEE JSTARS, 2023), power-plant flow forecasting (Engineering Applications of Artificial Intelligence, 2025) and computational fluid dynamics (Machine Learning: Science and Technology, 2024). He has authored more than 50 research papers and several granted patents, and has delivered over 30 invited and contributed talks worldwide. |
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