Resource-aware system architecture model for implementation of quantum aided Byzantine agreement on quantum repeater networks
Resource-aware system architecture model for implementation of quantum aided Byzantine agreement on quantum repeater networks
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DOI：
10.1088/2058-9565/aa9bb1
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发表时间：
2017-01
影响因子：
6.7
通讯作者：
Mohammand Amin Taherkhani;Keivan Navi;R. V. Meter
中科院分区：
文献类型：
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作者：
Mohammand Amin Taherkhani;Keivan Navi;R. V. Meter
量子辅助拜占庭协议是一种重要的分布式量子算法，与经典的确定性和随机算法相比，它具有独特的功能，除了提供更高的安全性之外，只需要恒定的预期轮数。在本文中，我们分析了高级多方算法的细节，并提出了量子体系结构的设计元素和每个节点上运行量子中继器网络（QRN）上的算法所需的电路。与基于标准算术电路的设计相比，我们的优化技术将量子电路深度减少了44%，每个节点中的量子位数减少了20%，最少五个节点。这些改进使得量子系统的架构每个节点有160个量子比特，时空积（对所需保真度的估计）KQ = 1.3 × 10 - 5，网络中所有节点的误差阈值为1.1 × 10 - 6。对所设计架构的评估表明，要在最小设置上执行一次算法，我们需要在整个网络中成功分布总共648个Bell对，在所有节点对之间均匀分布。这个框架可以被认为是一个起点，为QRN上分布式量子应用的轻量级演示建立路线图。
Quantum aided Byzantine agreement is an important distributed quantum algorithm with unique features in comparison to classical deterministic and randomized algorithms, requiring only a constant expected number of rounds in addition to giving a higher level of security. In this paper, we analyze details of the high level multi-party algorithm, and propose elements of the design for the quantum architecture and circuits required at each node to run the algorithm on a quantum repeater network (QRN). Our optimization techniques have reduced the quantum circuit depth by 44% and the number of qubits in each node by 20% for a minimum five-node setup compared to the design based on the standard arithmetic circuits. These improvements lead to a quantum system architecture with 160 qubits per node, space-time product (an estimate of the required fidelity) KQ ≈ 1.3 × 10 5 per node and error threshold 1.1 × 10 − 6 for the total nodes in the network. The evaluation of the designed architecture shows that to execute the algorithm once on the minimum setup, we need to successfully distribute a total of 648 Bell pairs across the network, spread evenly between all pairs of nodes. This framework can be considered a starting point for establishing a road-map for light-weight demonstration of a distributed quantum application on QRNs.