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Minimising the heat dissipation of information erasure Minimising the heat dissipation of information erasure

Minimising the heat dissipation of information erasure - PowerPoint Presentation

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Minimising the heat dissipation of information erasure - PPT Presentation

M Hamed Mohammady M Mohseni Y Omar Physics of Information Group Instituto de Telecomunicacoes Quantum Physics and Logic Oxford 15 th July 2015 Overview Landauers principle for information erasure ID: 269207

erasure information dissipation heat information erasure heat dissipation probability 2013 minimising landauer

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Slide1

Minimising the heat dissipation of information erasure

M. Hamed Mohammady, M. Mohseni, Y. OmarPhysics of Information Group, Instituto de TelecomunicacoesQuantum Physics and LogicOxford, 15th July 2015Slide2

Overview

Landauer’s principle for information erasureThe optimal unitary operator for minimal heat dissipation given maximal probability of information erasureTrade-off between probability of information erasure and heat dissipationSlide3

Landauer’s principleSlide4

Szilard’s engineSlide5

Information erasure as pure state preparation

Classical PhysicsQuantum PhysicsInformation erasureMany-to-one mapping on configuration spaceMany-to-one mapping on Hilbert space

Landauer’s

limit

NJP vol. 16, no. 10, p. 103011, 2014Slide6

Landauer’s framework for information erasureSlide7

The optimal unitary operator for probabilistic information erasureSlide8

Majorisation theory toolsSlide9

Maximising the probability of information erasureSlide10

Minimising the heat dissipationSlide11

Minimising the heat dissipation for maximal probability

ofinformation erasureSlide12

Trade-off between probability of information erasure and heat dissipation Slide13

Sequential swap algorithmSlide14
Slide15

Acknowledgements

M. H. M, and Y. O. thank the support from Fundacao para a Ciencia e a Tecnologia (Portugal), namely through programmes PTDC/POPH and projects PEst-OE/EGE/UI0491/2013, PEst-OE/EEI/LA0008/2013, UID/EEA/50008/2013, IT/QuSim and CRUP-CPU/CQVibes,

partially

funded by EU FEDER, and from the EU FP7 projects LANDAUER (GA

318287) and

PAPETS (GA 323901). Furthermore MHM acknowledges the support from the EU

FP7 Marie

Curie Fellowship (GA 628912).