Reducing classical communication costs in multiplexed quantum repeaters using hardware-aware quasi-local policies
Stav Haldar, Pratik J. Barge, Xiang Cheng, Kai-Chi Chang, Brian T. Kirby, Sumeet Khatri, Chee Wei Wong, Hwang Lee

TL;DR
This paper introduces quasi-local decision policies for multiplexed quantum repeaters that improve performance and reduce classical communication costs by leveraging local and regional information, outperforming existing methods in key regimes.
Contribution
The work proposes and analyzes quasi-local policies for quantum repeaters, balancing local information use with reduced communication costs, and demonstrates their advantages over traditional policies.
Findings
Quasi-local policies outperform local and global policies in key regimes.
Reduced classical communication costs compared to fully global policies.
Experimental demonstration of high-dimensional biphoton frequency comb.
Abstract
Future quantum networks will have nodes equipped with multiple quantum memories, allowing for multiplexing and entanglement distillation strategies in order to increase fidelities and reduce waiting times for end-to-end entanglement distribution. In this work, we introduce \textit{quasi-local} policies for multiplexed quantum repeater chains. In fully-local policies, nodes make decisions based only on knowledge of their own states. In our quasi-local policies, nodes have increased knowledge of the state of the repeater chain, but not necessarily full, global knowledge. Our policies exploit the observation that for most decisions the nodes have to make, they only need to have information about the connected region of the chain they belong to, and not the entire chain. In this way, we not only obtain improved performance over local policies, but we reduce the classical communication (CC)…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Neural Networks and Reservoir Computing · Quantum Information and Cryptography
