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arXiv 2103.09922quant-ph
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超导量子比特的上下文感知门集层析表征

A context-aware gate set tomography characterization of superconducting qubits

Ahmed Abid Moueddene, Nader Khammassi, Sebastian Feld, Said Hamdioui

摘要:

量子表征、验证和确认(QCVV)协议的效率高度依赖于假设的噪声模型和底层错误机制之间的一致性。事实上,量子处理单元(QPU)中的错误包含了上下文可靠性的各个方面,这些方面被大多数常用的QCVV协议所忽视。由于QCVV协议在表征和评估量子操作时是不可或缺的,因此迫切需要考虑到这些方面的详细表征。在这项工作中,我们通过设计一个上下文感知版本的门集断层扫描(GST)协议来解决这些缺点。我们的实验选择方法是基于一个多项式量化的累积误差内的设计电路。使用模拟的QPU,我们表明,这种技术使一个不准确的表征达到$10^{-5}$。此外,我们使用我们提出的协议来实验推断上下文相关的错误,即串扰和记忆效应,在一个公开访问的基于云的超导量子位平台。我们的研究结果表明,当GST升级到包括上下文意识等功能,观察到一个大的一致性的错误。这些发现开辟了大幅减少当前演示的QPU中的错误的可能性。

英文摘要:

The efficiency of Quantum Characterisation, Verification, and Validation (QCVV) protocols highly hinges on the agreement between the assumed noise model and the underlying error mechanisms. As a matter of fact, errors in Quantum Processing Units (QPUs) incorporate various aspects of context-dependability which are overlooked by the majority of the commonly used QCVV protocols. As QCVV protocols are indispensable when it comes to characterizing and evaluating quantum operations, there is a serious need for a detailed characterization taking into account such aspects. In this work, we address these shortcomings by designing a context-aware version of the gate set tomography (GST) protocol. Our experiment selection approach is based on a polynomial quantification of the accumulation of errors within the designed circuits. Using simulated QPUs, we show that this technique enables a characterization with an inaccuracy reaching $10^{-5}$. Furthermore, we use our proposed protocol to experimentally infer context-dependent errors, namely crosstalk and memory effects, in a publicly accessible cloud-based superconducting qubits platform. Our results show that when the GST is upgraded to include such features of context-awareness, a large coherence in the errors is observed. These findings open up possibilities of drastically reducing the errors within the currently demonstrated QPUs.

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