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Atomic and Laser Physics
Credit: Jack Hobhouse

Prof Vlatko Vedral FInstP

Professor of Quantum Information Science

Sub department

  • Atomic and Laser Physics

Research groups

  • Frontiers of quantum physics
vlatko.vedral@physics.ox.ac.uk
Telephone: 01865 (2)72389
Clarendon Laboratory, room 241.8
  • About
  • Publications

Replicating the benefits of closed timelike curves without breaking causality

(2014)

Authors:

Xiao Yuan, Syed M Assad, Jayne Thompson, Jing Yan Haw, Vlatko Vedral, Timothy C Ralph, Ping Koy Lam, Christian Weedbrook, Mile Gu

Discord as a quantum resource for bi-partite communication

AIP Conference Proceedings AIP Publishing 1633:1 (2014) 116-118

Authors:

Helen M Chrzanowski, Mile Gu, Syed M Assad, Thomas Symul, Kavan Modi, Timothy C Ralph, Vlatko Vedral, Ping Koy Lam

Maxwell's daemon: information versus particle statistics

Scientific Reports Springer Nature 4 (2014) 6995

Authors:

M Plesch, O Dahlsten, J Goold, Vlatko Vedral

Abstract:

Maxwell's daemon is a popular personification of a principle connecting information gain and extractable work in thermodynamics. A Szilard Engine is a particular hypothetical realization of Maxwell's daemon, which is able to extract work from a single thermal reservoir by measuring the position of particle(s) within the system. Here we investigate the role of particle statistics in the whole process; namely, how the extractable work changes if instead of classical particles fermions or bosons are used as the working medium. We give a unifying argument for the optimal work in the different cases: the extractable work is determined solely by the information gain of the initial measurement, as measured by the mutual information, regardless of the number and type of particles which constitute the working substance.

Universal optimal quantum correlator

International Journal of Quantum Information World Scientific Publishing 12:07n08 (2014) 1560002

Authors:

Francesco Buscemi, Michele Dall'Arno, Masanao Ozawa, Vlatko Vedral

Zen and the art of quantum complexity

The New Scientist Elsevier 224:2995 (2014) 28-29

Authors:

Mile Gu, Vlatko Vedral

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