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Minimising the heat dissipation of information erasure M. Hamed Mohammady, M. Mohseni, Y. Omar...

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Minimising the heat dissipation of information erasure M. Hamed Mohammady, M. Mohseni, Y. Omar Physics of Information Group, Instituto de Telecomunicacoes Quantum Physics and Logic Oxford, 15 th July 2015
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Page 1: Minimising the heat dissipation of information erasure M. Hamed Mohammady, M. Mohseni, Y. Omar Physics of Information Group, Instituto de Telecomunicacoes.

Minimising the heat dissipation of information erasure

M. Hamed Mohammady, M. Mohseni, Y. Omar

Physics of Information Group, Instituto de Telecomunicacoes

Quantum Physics and LogicOxford, 15th July 2015

Page 2: Minimising the heat dissipation of information erasure M. Hamed Mohammady, M. Mohseni, Y. Omar Physics of Information Group, Instituto de Telecomunicacoes.

Overview

• Landauer’s principle for information erasure

• The optimal unitary operator for minimal heat dissipation given maximal probability of information erasure

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

Page 3: Minimising the heat dissipation of information erasure M. Hamed Mohammady, M. Mohseni, Y. Omar Physics of Information Group, Instituto de Telecomunicacoes.

LANDAUER’S PRINCIPLE

Page 4: Minimising the heat dissipation of information erasure M. Hamed Mohammady, M. Mohseni, Y. Omar Physics of Information Group, Instituto de Telecomunicacoes.

Szilard’s engine

Page 5: Minimising the heat dissipation of information erasure M. Hamed Mohammady, M. Mohseni, Y. Omar Physics of Information Group, Instituto de Telecomunicacoes.

Information erasure as pure state preparation

Classical Physics Quantum Physics

Information erasure Many-to-one mapping on configuration space

Many-to-one mapping on Hilbert space

Landauer’s limit

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

Page 6: Minimising the heat dissipation of information erasure M. Hamed Mohammady, M. Mohseni, Y. Omar Physics of Information Group, Instituto de Telecomunicacoes.

Landauer’s framework for information erasure

Page 7: Minimising the heat dissipation of information erasure M. Hamed Mohammady, M. Mohseni, Y. Omar Physics of Information Group, Instituto de Telecomunicacoes.

THE OPTIMAL UNITARY OPERATOR FOR PROBABILISTIC INFORMATION ERASURE

Page 8: Minimising the heat dissipation of information erasure M. Hamed Mohammady, M. Mohseni, Y. Omar Physics of Information Group, Instituto de Telecomunicacoes.

Majorisation theory tools

Page 9: Minimising the heat dissipation of information erasure M. Hamed Mohammady, M. Mohseni, Y. Omar Physics of Information Group, Instituto de Telecomunicacoes.

Maximising the probability of information erasure

Page 10: Minimising the heat dissipation of information erasure M. Hamed Mohammady, M. Mohseni, Y. Omar Physics of Information Group, Instituto de Telecomunicacoes.

Minimising the heat dissipation

Page 11: Minimising the heat dissipation of information erasure M. Hamed Mohammady, M. Mohseni, Y. Omar Physics of Information Group, Instituto de Telecomunicacoes.

Minimising the heat dissipation for maximal probability ofinformation erasure

Page 12: Minimising the heat dissipation of information erasure M. Hamed Mohammady, M. Mohseni, Y. Omar Physics of Information Group, Instituto de Telecomunicacoes.

Trade-off between probability of information erasure and heat dissipation

Page 13: Minimising the heat dissipation of information erasure M. Hamed Mohammady, M. Mohseni, Y. Omar Physics of Information Group, Instituto de Telecomunicacoes.

Sequential swap algorithm

Page 14: Minimising the heat dissipation of information erasure M. Hamed Mohammady, M. Mohseni, Y. Omar Physics of Information Group, Instituto de Telecomunicacoes.
Page 15: Minimising the heat dissipation of information erasure M. Hamed Mohammady, M. Mohseni, Y. Omar Physics of Information Group, Instituto de Telecomunicacoes.

AcknowledgementsM. 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).


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