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Entanglement swapping between discrete and continuous variables.

Shuntaro Takeda1, Maria Fuwa1, Peter van Loock2

  • 1Department of Applied Physics, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.

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Summary
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Researchers achieved hybrid entanglement swapping between discrete-variable (DV) and continuous-variable (CV) optical systems. This breakthrough enables robust entanglement transfer for quantum applications like teleportation and cryptography.

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Area of Science:

  • Quantum optics
  • Quantum information science

Background:

  • Entanglement swapping is crucial for quantum networks.
  • Previous methods often require postselection or are limited to specific variable types.

Purpose of the Study:

  • To experimentally demonstrate hybrid entanglement swapping between discrete-variable (DV) and continuous-variable (CV) optical systems.
  • To verify the successful transfer of entanglement without postselection.
  • To explore the potential of the transferred state for quantum information tasks.

Main Methods:

  • Utilizing a single photon split at a beam splitter to generate DV entanglement.
  • Employing efficient CV entanglement and operations, including squeezed light sources and homodyne detections.
  • Verifying entanglement via logarithmic negativity measurements.

Main Results:

  • Successful experimental realization of hybrid entanglement swapping.
  • Robust transfer of DV entanglement using CV resources.
  • Measured logarithmic negativity of up to 0.28±0.01, confirming entanglement without postselection.
  • Demonstrated that the optimally transferred state can violate a Bell inequality.

Conclusions:

  • Hybrid entanglement swapping is a viable technique for transferring quantum entanglement between different systems.
  • The method provides a robust and efficient way to establish entanglement for quantum communication and computation.
  • The demonstrated violation of a Bell inequality highlights the potential of this technique for advanced quantum information processing.