\textit{In Silico} Benchmarking of Detectable Byzantine Agreement in Noisy Quantum Networks

• URL: http://arxiv.org/abs/2509.02629v1
• Date: Mon, 01 Sep 2025 17:34:52 GMT
• Title: \textit{In Silico} Benchmarking of Detectable Byzantine Agreement in Noisy Quantum Networks
• Authors: Mayank Bhatia, Shaan Doshi, Daniel Winton, Brian Doolittle, Bruno Abreu, Santiago Núñez-Corrales,
• Abstract summary: Quantum Detectable Byzantine Agreement (QDBA) enables consensus protocols that surpass classical limitations by leveraging entangled quantum states.<n>We present a comprehensive computational study of the EPRQDBA protocol under realistic quantum network conditions.<n>Our findings serve as a guideline for evaluating and optimizing QDBA implementations in realistic, noisy environments.
• Score: 0.6157382820537719
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Quantum communication resources offer significant advantages for fault-tolerant distributed protocols, particularly in Byzantine Agreement (BA), where reliability against adversarial interference is essential. Quantum Detectable Byzantine Agreement (QDBA) enables consensus protocols that surpass classical limitations by leveraging entangled quantum states. In this work, we focus on the practical realization of QDBA using Einstein-Podolsky-Rosen (EPR) pairs, the simplest maximally entangled quantum resources, making the protocol experimentally accessible across current quantum hardware platforms. We present a comprehensive computational study of the EPRQDBA protocol under realistic quantum network conditions, utilizing the Aliro Quantum Network Simulator to evaluate the performance and robustness of the protocol. Our simulations systematically explore the protocol's parameter space --including variations in network size, traitorous node count, the amount of entanglement consumed in the protocol, and physically motivated noise models tailored specifically for superconducting and photonic qubit technologies. Through extensive numerical experiments, we provide insights into how these physically realistic parameters impact protocol performance, establishing critical thresholds and optimal operational regimes for experimental implementations. This work bridges theoretical advances in quantum consensus protocols with practical network implementations, offering a concrete reference for experimentalists. Our findings serve as a guideline for evaluating and optimizing QDBA implementations in realistic, noisy environments.

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