Samuel L. Braunstein

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Samuel L. Braunstein
Born1961
NationalityAustralian
Alma materUniversity of Melbourne
California Institute of Technology
Known forQuantum teleportation
AwardsRoyal Society Wolfson Research Merit Award(2003)
Scientific career
FieldsPhysicist
InstitutionsUniversity of Arizona
Technion
Weizmann Institute of Science
University of Ulm
University of Wales, Bangor
University of York
Doctoral advisorCarlton Morris Caves

Samuel Leon Braunstein (born 1961) is a professor at the University of York, UK. He is a member of a research group in non-standard computation, and has a particular interest in quantum information, quantum computation and black hole thermodynamics.

Braunstein has written or edited three books and has published more than one hundred and forty papers, which have been cited over twenty-seven thousand times. His most important work was on quantum teleportation, and published in a paper titled Unconditional Quantum Teleportation. The paper has been cited more than three thousand times and has received significant coverage in both the scientific and mainstream press.

In February 2006, Braunstein made the news due to his involvement in the first successful demonstration of Quantum telecloning.[1]

From 2009, he began to research on black hole thermodynamics, he especially contributed to the Black hole information paradox and the Firewall paradox.[2][3]

Braunstein co-authored papers with Gilles Brassard and Simone Severini, with whom he introduced the Braunstein-Ghosh-Severini Entropy of a graph.<ref>

Education[]

He completed his PhD in 1988 at Caltech, under Carlton M. Caves with a thesis entitled: Novel Quantum States and Measurements.

Academic career[]

Awards and honors[]

Books[]

  • Samuel L. Braunstein: Quantum Computing: Where Do We Want To Go Tomorrow?, Wiley-VCH, ISBN 3-527-40284-5
  • Samuel L. Braunstein and Hoi-Kwong Lo: Scalable Quantum Computers: Paving the Way to Realization, Wiley-VCH, ISBN 3-527-40321-3
  • Samuel L. Braunstein and Arun K. Pati (Eds.): Quantum Information with Continuous Variables, Springer, ISBN 1-4020-1195-4

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