论文标题
关于通过模拟随机基准测试协议的混合量子量计算门的鲁棒性
On the robustness of the hybrid qubit computational gates through simulated randomized benchmarking protocols
论文作者
论文摘要
构建量子处理器的主要挑战之一是表征环境噪声。可以通过利用不同的技术来实现噪声表征，例如随机化，其中将几个随机量子门的序列应用于正在测试的量子序列中，以得出有关影响噪声的统计特征。可以使用随机化技术对整个Clifford门进行基准基准的可扩展算法称为随机基准测试。在这项研究中，我们在半导体的全电动三电子双Quantum Dot Qubit中模拟了随机基准测定方案，即在不同的误差模型下，包括准静态高斯和更现实的1/F噪声模型，用于输入控制。特定量子计算门的平均误差是通过获得的交织随机基准测试提取的，其中包括感兴趣门之间的Clifford门。它提供了对正在测试的门的平均误差的保真度和理论界限的估计。
One of the main challenges in building a quantum processor is to characterize the environmental noise. Noise characterization can be achieved by exploiting different techniques, such as randomization where several sequences of random quantum gates are applied to the qubit under test to derive statistical characteristics about the affecting noises. A scalable and robust algorithm able to benchmark the full set of Clifford gates using randomization techniques is called randomized benchmarking. In this study, we simulated randomized benchmarking protocols in a semiconducting all-electrical three-electron double-quantum dot qubit, i.e. hybrid qubit, under different error models, that include quasi-static Gaussian and the more realistic 1/f noise model, for the input controls. The average error of specific quantum computational gates is extracted through interleaved randomized benchmarking obtained including Clifford gates between the gate of interest. It provides an estimate of the fidelity as well as theoretical bounds for the average error of the gate under test.
