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Related Experiment Videos

Quantum control and entanglement using periodic driving fields.

C E Creffield1

  • 1Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, United Kingdom.

Physical Review Letters
|October 13, 2007
PubMed
Summary
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We demonstrate a novel method to control particle motion in a lattice using a periodic potential and coherent destruction of tunneling. This technique allows for precise steering and controllable entanglement generation for quantum information processing.

Area of Science:

  • Quantum physics
  • Condensed matter physics
  • Quantum information science

Background:

  • Controlling quantum systems is crucial for advancing technologies like quantum computing.
  • Existing methods for manipulating particles in lattices often require complex local control.
  • Understanding quantum dynamics, such as tunneling, is key to developing novel control schemes.

Purpose of the Study:

  • To propose a new scheme for directed motion in lattice systems.
  • To demonstrate a controllable ratchetlike effect using coherent destruction of tunneling.
  • To explore the potential for generating entanglement for quantum information processing.

Main Methods:

  • Applying a periodic driving potential to a lattice system.
  • Utilizing the phenomenon of coherent destruction of tunneling to control particle dynamics.

Related Experiment Videos

  • Analyzing the resulting directed motion and entanglement generation.

    • Main Results:

    • Achieved directed motion of particles in a lattice without local control.
    • Demonstrated a novel ratchetlike effect for coherent particle manipulation and steering.
    • Showed that entanglement between particles can be controllably generated.

    Conclusions:

    • The proposed scheme offers a robust method for coherent manipulation of particles in lattices.
    • The demonstrated ratchetlike effect has significant implications for quantum control.
    • This technique presents a promising avenue for quantum information processing applications.