9 June 2022, 11:00 (EET), Hall 300, INRNE

• д-р Христо Тончев (ИЯИЯЕ, ИФТТ)
• Title: Quantum Random Walk on different structures
• Abstract: Quantum random walk is a analogue of classical walk, where evolution of the walker is governed by the laws of the quantum mechanics. It has a wide range of applications in modern science such as quantum machine learning, quantum simulations, quantum artificial intelligence and quantum cryptography. QRW is fundamental building block on variety of quantum algorithms, that are much faster than their classical counterpart. This presentation will begin with brief discussion of the basic concepts in quantum information. Next a quantum walks will be explained. As example will be shown QRW on different structures like line, circle, square grid and hypercube. At the end I will make a brief discussion of variety of quantum random walk applications in different scientific fields like quantum algorithms, quantum machine learning, quantum simulations and quantum cryptography.
• Slides: pdf-format, 113MB and pptx-format, 150MB, with embedded clips