Supercomputing and Computation

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Enhanced sensing via Quantum Plasmonics


Problem Statement:

  • As physical devices for sensing, communications and computing shrink below the optical diffraction limit, how can we take advantage of quantum optical effects at the nanoscale?

Technical Approach:

  • Localized surface plasmons are quantized oscillations of electrons within metallic nanoparticles. We have demonstrated that continuous variable (CV) quantum statistics of light (known as quantum noise reduction or “squeezing”) can be recovered during a photon-plasmon-photon process– thus preserving the quantum state, operating below the diffraction limit, and reducing noise below the shot noise level.

Benefits:

  • High sensitivity, high signal-to-noise level force and biochemical sensors
  • Entangled plasmons
  • Enables quantum information processing below the optical diffraction limit – ultra compact and dense plasmonic circuits and quantum plasmonic imaging
  • Solid state Quantum memories
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