Speaker : Vladimir P. Gerdt (Head of research group (sector) on algebraic and quantum computation Laboratory of information technologies Joint Institute for Nuclear Research, Dubna,RUSSIA)

The talk based on materials of the workshop «Quantum Computing for High Energy Physics» (CERN, November 5-6, 2018) contains the state-of-the-art brief review of quantum computing and quantum information. In consideration of the especially promising applications of quantum computing we place emphasis on the quadratic unconstrained binary optimization problems (quadratic programming) which form the basis of rapidly developing area – quantum machine learning  – perspective in analysis of big data.