Santha, M (Université Paris 7 - Denis-Diderot)
Thursday 05 September 2013, 15:30-16:30

Lecture 1 - 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/

Junge, M
Friday 27th July 2018 - 12:30 to 13:15

Relative Entropy and Fisher Information

Capel, A
Friday 27th July 2018 - 11:45 to 12:30

Quantum Conditional Relative Entropy and Quasi-Factorization of the relative entropy

Rouzé, C
Friday 27th July 2018 - 11:00 to 11:45

Quantum reverse hypercontractivity: its tensorization and application to strong converses

Jenčová, A
Thursday 26th July 2018 - 16:00 to 16:45

Renyi relative entropies and noncommutative L_p-spaces

Woods, M
Wednesday 25th July 2018 - 11:45 to 12:30

Lecture 1 - Quantum walk and learning graph based algorithms (a tutorial)

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