论文标题
使用量子电路设计量子重复器,并在IBM量子计算机上进行基准测试
Design of a Quantum-Repeater using Quantum-Circuits and benchmarking its performance on an IBM Quantum-Computer
论文作者
论文摘要
量子通信取决于网络两个节点之间的纠缠。但是,由于其脆弱的性质,几乎不可能通过直接传播量子位在大距离内建立纠缠。已经提出了量子中继器来解决此问题,该问题将网络拆分以创建小规模的纠缠链接,然后将它们连接起来以创建大规模链接。随着研究人员在越来越大的距离上建立纠缠的竞争,在将它们在现实生活中部署之前,必须衡量已提出设计量子重复器的不同协议的性能和鲁棒性。当前可用的嘈杂量子计算机非常适合此任务,因为它们可以在量子通信渠道中模仿嘈杂的环境,并为协议在现实生活硬件上的执行方式提供衡量标准。在本文中,我们报告了量子中继器的完整体系结构的电路级实现,并在IBM的云量子计算机-IBMQ上进行基准测试。我们的实验表明,共享钟形的忠诚度为26%,用于完全芯片量子中继器,产量为49%。我们还将这些结果与来自IBM Qiskit的仿真数据进行了比较。我们的实验结果为当前可用的中继器可以建立的纠缠的保真度提供了定量措施。此外,提出的电路实施为最先进的量子计算硬件提供了强大的基准。
Quantum communication relies on the existence of entanglement between two nodes of a network. However, due to its fragile nature, it is nearly impossible to establish entanglement at large distances through the direct transmission of qubits. Quantum repeaters have been proposed to solve this problem, which split-up the network to create small-scale entangled links and then connect them up to create the large-scale link. As researchers race to establish entanglement over larger and larger distances, it becomes essential to gauge the performance and robustness of the different protocols that have been proposed to design a quantum repeater, before deploying them in real life. Currently available noisy quantum computers are ideal for this task, as they can emulate the noisy environment in a quantum communication channel, and provide a measure for how the protocols will perform on real-life hardware. In this paper, we report the circuit-level implementation of the complete architecture of a quantum repeater, and benchmark this protocol on IBM's cloud quantum computer - IBMQ. Our experiments indicate a 26% fidelity of shared bell-pairs for a complete on-chip quantum repeater with a yield of 49%. We also compare these results with simulation data from IBM Qiskit. The results of our experiments provide a quantitative measure for the fidelity of entanglement that currently available repeaters can establish. In addition, the proposed circuit-implementation provides a robust benchmark for state-of-the-art quantum computing hardware.