Dr. Alexey Melnikov

Global Director of Artificial Intelligence
Visiting Assistant Professor

Terra Quantum AG
St. Gallen and Zürich
Switzerland

My contact details are at the bottom of the page
email: alexey at melnikov dot info

Background

I am a computer science researcher and machine learning engineer working at Terra Quantum on quantum machine learning. My current interests are designing machine learning techniques for developing new quantum technologies and implementing advantages of near-term quantum software and hardware for IT today. My job is to invent and develop hybrid quantum neural networks for industrial use.

Research directions

  • Quantum machine learning
  • Hybrid quantum neural networks
  • Applied quantum technologies
  • Cryptography and blockchain
  • Artificial intelligence in physics

Positions

2020 - present

Terra Quantum AG, Switzerland

Global Director of Artificial Intelligence (2024 - present)
Head of Quantum Machine Learning (2020 - 2024)

2019-2020

University of Basel, Switzerland

Postdoctoral Research Scientist
Department of Physics

Quantum Optics Theory Group
2018-2019

University of Innsbruck, Austria

Postdoctoral Research Scientist
Institute for Theoretical Physics

Quantum Information & Computation Group
2015-2018

University of Innsbruck, Austria

Ph.D. Researcher and Lecturer
Institute for Theoretical Physics

Quantum Information & Computation Group
2013-2015

Austrian Academy of Sciences, Austria

Ph.D. Researcher
Institute for Quantum Optics and Quantum Information

Quantum Information & Computation Group

Part-time Positions

2021 - present

National Tsing Hua University, Taiwan

Visiting Assistant Professor

Education

2018

Doctor of Philosophy

in Physics
University of Innsbruck, Austria

Selected Publications

All Publications
2020
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Setting up experimental Bell tests with reinforcement learning

Physical Review Letters 125 (16), 160401 (2020)
Alexey A. Melnikov, Pavel Sekatski, Nicolas Sangouard
Journal articles
Publisher's website BibTeX
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Machine learning for long-distance quantum communication

PRX Quantum 1 (1), 010301 (2020)
Julius Wallnöfer, Alexey A. Melnikov, Wolfgang Dür, Hans J. Briegel
Journal articles
Publisher's website BibTeX
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Machine learning transfer efficiencies for noisy quantum walks

Advanced Quantum Technologies 3 (4), 1900115 (2020)
Alexey A. Melnikov, Leonid E. Fedichkin, Ray-Kuang Lee, Alexander Alodjants
Journal articles
Publisher's website BibTeX
2019
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Predicting quantum advantage by quantum walk with convolutional neural networks

New Journal of Physics 21 (12), 125002 (2019)
Alexey A. Melnikov, Leonid E. Fedichkin, Alexander Alodjants
Journal articles
Publisher's website BibTeX
2018
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Active learning machine learns to create new quantum experiments

Proceedings of the National Academy of Sciences 115 (6), 1221–1226 (2018)
Alexey A. Melnikov, Hendrik Poulsen Nautrup, Mario Krenn, Vedran Dunjko, Markus Tiersch, Anton Zeilinger, Hans J. Briegel
Journal articles
Publisher's website BibTeX

Awards, Fellowships & Scholarships

2019

Cozzarelli Prize 2018 in Physical and Mathematical Sciences, the U.S.A. National Academy of Sciences

The annual Cozzarelli Prize recognizes outstanding contributions to the scientific disciplines represented by the U.S.A. National Academy of Sciences, acknowledges papers that reflect scientific excellence and originality.

Announcement of the National Academy of Sciences
2018

Performance-based Scholarship at the University of Innsbruck

2013

Award of the Ministry of Education and Science: Best Master’s Thesis

2013

The Dynasty Foundation Scholarship

2012-2013

The Enhanced State Academic Scholarship

2011

Financial support from Universität Würzburg

2010

The Second International Olympiad in Mathematical Physics: III Prize

2010

Student Olympiad in Mechanics and Mathematical Modeling: III Prize

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