VPS-QMSD configuration in CV-QKD yields the lowest accepted QBER under Erlang-modeled underwater turbulence compared to VPS-QMLD and VPS-HD, with analytical expressions validated by Monte Carlo simulations.
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UNVERDICTED 4representative citing papers
Reinforcement learning optimizes CV-QKD under practical constraints of limited FIR filters, photon number, and DAC/ADC resolution, delivering significant performance gains.
A surface ion trap design with multiple trapping regions enables high-sensitivity magnetic field mapping and gradiometry using trapped ions.
A review summarizing input-output methods, theoretical proposals, and experimental demonstrations of emitter-based single-photon switches in nanophotonic structures.
citing papers explorer
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CV-QKD over Turbulence Channels with Virtual Photon Subtraction and Quantum Multiple-Symbol Detection for Underwater Quantum Communications
VPS-QMSD configuration in CV-QKD yields the lowest accepted QBER under Erlang-modeled underwater turbulence compared to VPS-QMLD and VPS-HD, with analytical expressions validated by Monte Carlo simulations.
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Optimization of CV-QKD Under Practical Constraints
Reinforcement learning optimizes CV-QKD under practical constraints of limited FIR filters, photon number, and DAC/ADC resolution, delivering significant performance gains.
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Scalable surface ion trap design for magnetic quantum sensing and gradiometry
A surface ion trap design with multiple trapping regions enables high-sensitivity magnetic field mapping and gradiometry using trapped ions.
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Routing single photons with quantum emitters coupled to nanostructures
A review summarizing input-output methods, theoretical proposals, and experimental demonstrations of emitter-based single-photon switches in nanophotonic structures.