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Autores principales: Ni, Gongyu, Claussen, Holger, Ho, Lester
Formato: Preprint
Publicado: 2025
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Acceso en línea:https://arxiv.org/abs/2505.12459
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author Ni, Gongyu
Claussen, Holger
Ho, Lester
author_facet Ni, Gongyu
Claussen, Holger
Ho, Lester
contents Quantum networks rely on high-fidelity entanglement links, but achieving target fidelity often increases latency and Bell pair consumption due to purification. This paper proposes a cost-based scheduler that jointly optimizes path selection and purification round, along with two hop-level estimators (a Deep Neural Network classifier and a Bayesian optimizer) to predict the minimal purification rounds needed for target hop fidelity. The scheme flexibly adjusts final entanglement fidelity while minimizing latency, improving request success rates and efficient Bell pair usage. Simulations integrating purification, entanglement generation, and network-level scheduling show that our approach reduces mean latency by up to 8% and increases success rates by 14% compared to fixed-round purification with FIFO scheduling.
format Preprint
id arxiv_https___arxiv_org_abs_2505_12459
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Joint Optimization of Routing and Purification to Meet Fidelity Targets in Quantum Networks
Ni, Gongyu
Claussen, Holger
Ho, Lester
Quantum Physics
Quantum networks rely on high-fidelity entanglement links, but achieving target fidelity often increases latency and Bell pair consumption due to purification. This paper proposes a cost-based scheduler that jointly optimizes path selection and purification round, along with two hop-level estimators (a Deep Neural Network classifier and a Bayesian optimizer) to predict the minimal purification rounds needed for target hop fidelity. The scheme flexibly adjusts final entanglement fidelity while minimizing latency, improving request success rates and efficient Bell pair usage. Simulations integrating purification, entanglement generation, and network-level scheduling show that our approach reduces mean latency by up to 8% and increases success rates by 14% compared to fixed-round purification with FIFO scheduling.
title Joint Optimization of Routing and Purification to Meet Fidelity Targets in Quantum Networks
topic Quantum Physics
url https://arxiv.org/abs/2505.12459