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A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
07:56

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

Up-conversion single-photon detector using multi-wavelength sampling techniques.

Lijun Ma1, Joshua C Bienfang, Oliver Slattery

  • 1Information Technology Laboratory, National Institute of Standards and Technology, 100 Bureau Dr., Gaithersburg, Maryland 20899, USA.

Optics Express
|March 30, 2011
PubMed
Summary
This summary is machine-generated.

Researchers improved quantum communication speed by enhancing single-photon detectors. Using multi-wavelength optical-sampling, they doubled the detection rate for infrared photons, boosting transmission capabilities.

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Area of Science:

  • Quantum communication
  • Photonics
  • Optical engineering

Background:

  • Single-photon detectors are crucial for quantum communication systems.
  • Detector efficiency and temporal resolution limit data rates.
  • Frequency up-conversion enhances infrared photon detection.

Purpose of the Study:

  • To improve the temporal resolution of up-conversion single-photon detectors.
  • To increase the data transmission rates in quantum communication systems.
  • To demonstrate a novel multi-wavelength optical-sampling technique.

Main Methods:

  • Developed a scheme using multi-wavelength optical-sampling.
  • Experimentally implemented the scheme with two spectrally and temporally distinct pump pulses.
  • Utilized an up-conversion detector for single-photon detection.

Main Results:

  • Achieved high-fidelity single-photon detection.
  • Doubled the detection rate compared to conventional single-pump detectors.
  • Demonstrated increased transmission rates for quantum communication.

Conclusions:

  • Multi-wavelength optical-sampling significantly enhances up-conversion detector performance.
  • The developed technique offers a pathway to faster quantum communication.
  • Identified limiting factors and trade-offs for future optimization.