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Coherent optical pulse sequencer for quantum applications

Author

Listed:
  • Mahdi Hosseini

    (ARC Centre of Excellence for Quantum-Atom Optics, The Australian National University, Canberra, Australian Capital Territory 0200, Australia)

  • Ben M. Sparkes

    (ARC Centre of Excellence for Quantum-Atom Optics, The Australian National University, Canberra, Australian Capital Territory 0200, Australia)

  • Gabriel Hétet

    (ARC Centre of Excellence for Quantum-Atom Optics, The Australian National University, Canberra, Australian Capital Territory 0200, Australia)

  • Jevon J. Longdell

    (ARC Centre of Excellence for Quantum-Atom Optics, The Australian National University, Canberra, Australian Capital Territory 0200, Australia
    University of Otago)

  • Ping Koy Lam

    (ARC Centre of Excellence for Quantum-Atom Optics, The Australian National University, Canberra, Australian Capital Territory 0200, Australia)

  • Ben C. Buchler

    (ARC Centre of Excellence for Quantum-Atom Optics, The Australian National University, Canberra, Australian Capital Territory 0200, Australia)

Abstract

Optical slice-and-dice Quantum computers and information networks will require a memory that allows storage and recall of data, analogous to the random access memory of electronic computers. To that end, a team based at the Australian National University in Canberra has developed a scheme for a new form of optical memory that allows random access to stored optical quantum information. Multiple pulses of light are stored in a coherent optical memory based on rubidium atoms. The pulses can be arbitrarily recalled, split and temporally compressed or stretched. Though experiments so far have used classical light pulses, the technique should be applicable to the construction of a random time-access memory for quantum information.

Suggested Citation

  • Mahdi Hosseini & Ben M. Sparkes & Gabriel Hétet & Jevon J. Longdell & Ping Koy Lam & Ben C. Buchler, 2009. "Coherent optical pulse sequencer for quantum applications," Nature, Nature, vol. 461(7261), pages 241-245, September.
    • Handle: RePEc:nat:nature:v:461:y:2009:i:7261:d:10.1038_nature08325
    DOI: 10.1038/nature08325
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    Cited by:

    1. Mateusz Mazelanik & Adam Leszczyński & Michał Parniak, 2022. "Optical-domain spectral super-resolution via a quantum-memory-based time-frequency processor," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

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