Dreams Versus Reality: Plenary Debate Session on Quantum Computing

  title={Dreams Versus Reality: Plenary Debate Session on Quantum Computing},
  author={Derek Abbott and Charles R. Doering and Carlton M. Caves and Daniel M. Lidar and Howard E. Brandt and Alex R. Hamilton and David K. Ferry and Julio Gea-Banacloche and Sergey M. Bezrukov and Laszlo B. Kish},
  journal={Quantum Information Processing},
"First published in abridged form in Quantum Information Processing, 2 2003, pp. 449-472. Also, in its extended form this debate was first published as a chapter in the book Quantum Aspects of Life, Eds. D. Abbott, P. C. W. Davies, and A. Pati, Publ. Imperial College Press, London, 2008." 
5 Citations
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  • P. Hassanzadeh
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  • Journal of controlled release : official journal of the Controlled Release Society
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