Santha, M (Université Paris 7 - Denis-Diderot)
Friday 06 September 2013, 10:00-11:00

Santha, M (Université Paris 7 - Denis-Diderot) Friday 06 September 2013, 10:00-11:00

Lecture 2 - Quantum walk and learning graph based algorithms (a tutorial)

Quantum information is currently one of the most dynamic and exciting areas of science and technology. Its breadth of significance ranges from deep fundamental issues of the ultimate physical limits of information processing and foundations of quantum mechanics, to the technological exploitation of quantum physics for exponentially enhanced computing power and novel possibilities for communication and information security. It is a highly cross-disciplinary subject with essential inputs from computer science, information theory, mathematics, quantum physics, engineering and others. In view of the central role of information processing and communication in most aspects of modern society, government and daily life, the transformative potential of Quantum Information for 21st century technology is immense.

Read more at http://www.newton.ac.uk/programmes/MQI/

Quantum information is currently one of the most dynamic and exciting areas of science and technology. Its breadth of significance ranges from deep fundamental issues of the ultimate physical limits of information processing and foundations of quantum mechanics, to the technological exploitation of quantum physics for exponentially enhanced computing power and novel possibilities for communication and information security. It is a highly cross-disciplinary subject with essential inputs from computer science, information theory, mathematics, quantum physics, engineering and others. In view of the central role of information processing and communication in most aspects of modern society, government and daily life, the transformative potential of Quantum Information for 21st century technology is immense. Read more at http://www.newton.ac.uk/programmes/MQI/

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Lecture 2 - Quantum walk and learning graph based algorithms (a tutorial)

Lecture 2 - Quantum walk and learning graph based algorithms (a tutorial)

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