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Steady motional entanglement between two distant levitated nanoparticles.

Guoyao Li, Zhang-Qi Yin

    Optics Express
    |March 5, 2024
    PubMed
    Summary

    Researchers achieved steady remote entanglement between two distant nanoparticles using optomechanical coupling. This breakthrough enables quantum-enhanced sensor networks and surpasses standard quantum limits, even at room temperature.

    Area of Science:

    • Quantum physics
    • Macroscopic quantum phenomena
    • Quantum information science

    Background:

    • Achieving steady remote entanglement in macroscopic systems is crucial for quantum information processing and exploring quantum-classical boundaries.
    • Existing methods face challenges in establishing robust entanglement between distant macroscopic objects.

    Purpose of the Study:

    • To investigate the feasibility of generating steady remote entanglement between two distant nanoparticles.
    • To explore the potential of optomechanical coupling for macroscopic entanglement.
    • To demonstrate a pathway towards quantum-enhanced sensor networks.

    Main Methods:

    • Utilizing two optically trapped nanoparticles within separate cavities.
    • Leveraging coherent scattering mechanisms to achieve ultrastrong optomechanical coupling.

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  • Employing entanglement swapping to realize motional entanglement between nanoparticles.
  • Simulating entanglement generation under experimentally feasible parameters.

    • Main Results:

    • Demonstrated ultrastrong optomechanical coupling between cavity modes and nanoparticle motion.
    • Achieved large and steady entanglement between output cavity modes and nanoparticle motion via red sideband trapping.
    • Successfully realized steady motional entanglement between distant nanoparticles (10 km separation) through entanglement swapping.
    • Confirmed feasibility at room temperature with experimentally viable parameters.

    Conclusions:

    • Steady remote entanglement of macroscopic objects is achievable using optomechanical systems.
    • The developed method provides a robust platform for quantum-enhanced sensor networks.
    • This work paves the way for surpassing the standard quantum limit in sensing applications.