可扩展的QKD后处理系统与可重构的硬件加速器

Natarajan Venkatachalam;Foram P. Shingala;Selvagangai C;Hema Priya S;Dillibabu S;Pooja Chandravanshi;Ravindra P. Singh
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引用次数: 0

摘要

密钥蒸馏是每个量子密钥分发系统的重要组成部分,因为它补偿了量子信道固有的传输误差。然而,后处理组件的互操作性和吞吐量方面经常被忽略。在本文中,我们提出了一个支持多种QKD协议的高通量密钥蒸馏框架,该框架在现场可编程门阵列(FPGA)中实现。提出的设计采用MapReduce编程模型,在FPGA有限的计算资源上有效地处理大块原始数据。我们提出了一种新颖的硬件高效集成后处理架构,提供动态纠错,具有物理不可克隆功能的相互认证,以及利用密钥进行安全通信的内置高速加密应用程序。此外,我们还开发了一种半自动高级合成(HLS)框架,该框架与任何离散变量QKD系统兼容,显示出有希望的加速。总体而言,实验结果表明,通过使用单个FPGA平台,可扩展性得到了显著增强。
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Scalable QKD Postprocessing System With Reconfigurable Hardware Accelerator
Key distillation is an essential component of every quantum key distribution (QKD) system because it compensates for the inherent transmission errors of a quantum channel. However, the interoperability and throughput aspects of the postprocessing components are often neglected. In this article, we propose a high-throughput key distillation framework that supports multiple QKD protocols, implemented in a field-programmable gate array (FPGA). The proposed design adapts a MapReduce programming model to efficiently process large chunks of raw data across the limited computing resources of an FPGA. We present a novel hardware-efficient integrated postprocessing architecture that offers dynamic error correction, mutual authentication with a physically unclonable function, and an inbuilt high-speed encryption application that utilizes the key for secure communication. In addition, we have developed a semiautomated high-level synthesis framework that is compatible with any discrete variable QKD system, showing promising speedup. Overall, the experimental results demonstrate a noteworthy enhancement in scalability achieved through the utilization of a single FPGA platform.
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IEEE Transactions on Quantum Engineering Publication Information Dissipative Variational Quantum Algorithms for Gibbs State Preparation TAQNet: Traffic-Aware Minimum-Cost Quantum Communication Network Planning FPGA-Based Synchronization of Frequency-Domain Interferometer for QKD Grover's Oracle for the Shortest Vector Problem and Its Application in Hybrid Classical–Quantum Solvers
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