Dr. Alexey Melnikov

Postdoctoral Research Scientist

Department of Physics
University of Basel
Switzerland

My contact details are at the bottom of the page

Background

I am a Postdoctoral Research Scientist in Theoretical Physics. I am working in Basel, Switzerland on quantum machine learning. My current interests are mainly in applying reinforcement learning techniques to physics problems, and in studying advantages of quantum-enhanced reinforcement learning agents.

Priorities

  1. Quantum machine learning
  2. Reinforcement learning
  3. Quantum information theory
  4. Quantum walks
  5. Quantum computers and computing
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Positions

2019 - present

University of Basel, Switzerland

Postdoctoral Research Scientist (full time)
Department of Physics

Quantum Optics Theory Group
2011 - present

Valiev Institute of Physics and Technology of Russian Academy of Sciences, Russia

2018-2019

University of Innsbruck, Austria

Postdoctoral Research Scientist
Institute for Theoretical Physics

Quantum Information & Computation Group
2018-2019

ITMO University, Russia

Research Fellow (part time)
Department of Information Technology

Laboratory of Quantum Cognition and Intelligent Systems
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
2012-2013

Moscow Institute of Physics and Technology, Russia

Graduate Student Researcher

Department of Theoretical Physics
2009

VTB Capital, Russia

Quantitative Analyst

Research Department

Education

2018

Doctor of Philosophy

in Physics
University of Innsbruck, Austria

2013

Master of Science

in Applied Mathematics and Physics
Moscow Institute of Physics and Technology, Russia

2011

Bachelor of Science

in Applied Mathematics and Physics
Moscow Institute of Physics and Technology, Russia

Selected Publications

Machine learning transfer efficiencies for noisy quantum walks

Advanced Quantum Technologies 3, 1900115 (2020)
Alexey A. Melnikov, Leonid E. Fedichkin, Ray-Kuang Lee, Alexander Alodjants
Publisher's website

Machine learning for long-distance quantum communication

arXiv:1904.10797 (2019)
Julius Wallnöfer, Alexey A. Melnikov, Wolfgang Dür, Hans J. Briegel
Publisher's website

Predicting quantum advantage by quantum walk with convolutional neural networks

New Journal of Physics 21, 125002 (2019)
Alexey A. Melnikov, Leonid E. Fedichkin, Alexander Alodjants
Publisher's website

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
Publisher's website

Awards, Fellowships & Scholarships

2019

Cozzarelli Prize of PNAS, 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 of the Russian Federation: 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

All-Russian Student Olympiad in Mechanics and Mathematical Modeling: III Prize