aiqbench analysis
This paper presents a novel stochastic modeling framework designed to predict entanglement distribution rates in quantum networks, specifically addressing the synchronization challenges posed by finite quantum memory lifetimes and independent repeater nodes. By integrating a unique global-local clock system into simulation algorithms, the study provides critical data on how storage efficiency impacts the timing of successful long-distance entanglement transfer. These findings offer essential benchmarks for developers building next-generation quantum network simulators and infrastructure planning tools.
Entanglement distribution modeling with quantum memories in a global and local clock system
arXiv:2509.08141v2 Announce Type: replace Abstract: We report an innovative model for predicting entanglement distribution between end parties of a quantum network using our in-house simulation algorithm. Our implementation is based on stochastic methods that are built upon a unique global and local clock system for monitoring expectations with finite quantum memory (QM) parameters. This allows us to tabulate rates with independently operating quantum repeater nodes in a distribution chain. The numerical simulations presented utilize a stochastic modeling of QM efficiency and storage lifetime. The findings presented reveal the translation of the effects of QM lifetime on the spread of time needed for successful entanglement distribution between end parties. Our model based on this transformative clock scheme will make an impactful addition to quantum network simulators platforms.
Abstract:We report an innovative model for predicting entanglement distribution between end parties of a quantum network using our in-house simulation algorithm. Our implementation is based on stochastic methods that are built upon a unique global and local clock system for monitoring expectations with finite quantum memory (QM) parameters. This allows us to tabulate rates with independently operating quantum repeater nodes in a distribution chain. The numerical simulations presented utilize a stochastic modeling of QM efficiency and storage lifetime. The findings presented reveal the translation of the effects of QM lifetime on the spread of time needed for successful entanglement distribution between end parties. Our model based on this transformative clock scheme will make an impactful addition to quantum network simulators platforms.
arXiv:2509.08141 [quant-ph]
(or arXiv:2509.08141v2 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2509.08141 Focus to learn more arXiv-issued DOI via DataCite
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Full text under the publisher's open licence · 210 words
