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Quantum Processing, Algorithms, & Computation - QPAC

by Sebastien_Tanzilli - published on , updated on

- Leaders

Antoine Browaeys , Tristan Meunier , Iordanis Kerenidis , & Simon Perdrix

- Aims of this thematic

Classical computers are exponentially slow at simulating the evolutions quantum systems. Faced with this problem, Feynman realized that in order to simulate quantum systems efficiently, we ought to use... quantum systems. He invented Quantum Computing (QC) with this application in mind: quantum simulation. Quantum computers, in this view, are just quantum systems that have the ability to emulate the behaviour of many other quantum systems. In other words they are multi-purpose, tunable devices capable of mimicking the behavious of a wide range of quantum systems.

Other fascinating applications of QC have been discovered since and received a great deal of attention, in particular quantum algorithms. Unfortunately, these are very sensitive to noise (they cannot function as soon as noise levels are above >10^-3). Thus, although the physical implementation quantum algorithms is of great interest to this ART, we are aware that it remains a long term objective.

Many groups around the world explore both the theoretical and experimental aspects of this subject.

- Bibliography for all

There are many papers on this topic. A pertinent selection is given below.

  • "Quantum Computing With Ions",
Christopher R. Monroe, David J. Wineland Scientific American 299, 64-71 (August 2008), doi:10.1038/scientificamerican0808-64
  • "Entangled states of trapped atomic ions",
Rainer Blatt, David Wineland 
Nature 453, 1008-1015 (18 June 2008), doi:10.1038/nature07125
  • "Review on quantum computing with atoms in Optical lattices",
  • "Optical Quantum Computing", Jeremy L. O’Brien, Science 318, 1567–1570. doi:10.1126/science.1142892. (2007)

- Reports: state-of-the-art and future

Under construction...