研究目的
To understand how the magnitude and orientation of polarization dependent loss (PDL) affects the entanglement quality of distributed quantum states and to theoretically characterize how PDL in one fiber channel can be optimally applied to nonlocally compensate for the PDL present in another channel.
研究成果
The study demonstrates that PDL in fiber-optic networks significantly affects the entanglement quality of distributed quantum states. It also shows that PDL in one channel can be optimally applied to nonlocally compensate for PDL in another channel, restoring the entanglement quality. The experimental results confirm the theoretical model, providing a foundation for the development of practical fiber-based quantum networks.
研究不足
The study focuses on Bell-diagonal states and does not cover all possible quantum states. The experimental setup is limited to specific PDL magnitudes and orientations, and the effects of other impairments like polarization mode dispersion (PMD) are not fully explored.
1：Experimental Design and Method Selection:
The study involves a theoretical model and experimental verification of how PDL affects quantum entanglement. The methodology includes the use of a fiber-based source of polarization-entangled photons and PDL emulating/compensating modules.
2：Sample Selection and Data Sources:
The experiment utilizes an entangled photon source (EPS), two detector stations (DS), and PDL emulating/compensating modules (PDLA, PDLA2, PDLB) inserted into channels A and B.
3：List of Experimental Equipment and Materials:
The setup includes a dispersion shifted fiber (DSF), a polarization beam splitter (PBS), a WDM demux, InGaAs single photon detectors (SPD), and FPGA-based controller software for polarization state tomography.
4：Experimental Procedures and Operational Workflow:
The experiment involves setting up the EPS, applying PDL of varying magnitudes and orientations, performing state tomography, and calculating the concurrence of the resulting density matrix.
5：Data Analysis Methods:
The analysis includes calculating the concurrence from density matrices obtained by performing state tomography and comparing experimental results with theoretical predictions.
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