.png){kind=icon}
.png){kind=icon}
Return
A Zero-Added-Loss Multiplexing (ZALM) Source Simulation
.png){kind=icon}
OA
AI
DOI：10.1002/qute.202500810.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Zero-Added-Loss Multiplexing (ZALM) offers broadband, per-channel-heralded EPR pairs, with a rich parameter space that allows its performance to be tailored for specific applications. This modular ZALM simulator demonstrates how design choices affect output rate and fidelity. Built in NetSquid with QSI controllers, it exposes 20+ tunable parameters, supports IDEAL and REALISTIC modes, and provides reusable components for spontaneous parametric down conversion (SPDC) sources, interference, dense wavelength division multiplexing (DWDM) filtering, fiber delay, active polarization gates, detectors, and lossy fiber. Physics-based models capture Hong-Ou-Mandel (HOM) visibility, insertion loss, detector efficiency, gate errors, and attenuation. Trade-offs among fidelity, link distance, and entangled pairs per use, are mapped and show how SPDC bandwidth and DWDM grid spacing steer performance. Using the default configuration settings, average fidelity remains constant at ~0.83 but the entangled qubit (ebit) rate decreases from ~0.0175 at the source to 0.0 at 50 km; narrowing the SPDC degeneracy bandwidth increases the ebit rate significantly without affecting fidelity. The simulator enables co-design of source, filtering, and feed-forward settings for specific quantum memories and integrates as a building block for end-to-end quantum-network studies.
Keywords:
entanglement distribution
quantum memory
quantum network
wavelength division multiplexing
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
A
IF:
4.3
Papers:
410
Citations:
3.2K