Seminar

The talk is based on materials of the workshop "Quantum Computing for High Energy Physics" (CERN, November 5-6, 2018) and contains the state-of-the-art brief review of "universal" and "adiabatic" quantum computing: hardware, software and most practical quantum algorithms. In consideration of the especially promising applications of quantum computing we place emphasis on the optimization problems which form the basis of rapidly developing area of quantum machine learning. This research area is important for analysis of big data in high energy physics and other fields of modern science and technology.