论文标题
量子设备的马尔可夫噪声建模和参数提取框架
Markovian Noise Modelling and Parameter Extraction Framework for Quantum Devices
论文作者
论文摘要
近年来，嘈杂的中间量表量子（NISQ）计算机已被广泛用作量子动力学的测试床。这项工作提供了一个新的硬件无形框架，用于在用于评估设备性能的基准过程中对马尔可夫噪声和量子系统的动态进行建模。作为一个可访问的示例，该框架的应用和性能在IBM量子计算机上证明。该框架可以通过简化的过程同时提取多个校准参数，该过程比以前研究的校准实验和断层扫描程序更可靠。此外，此方法允许在综合过程中对量子计算机的几个硬件参数进行实时校准，从而对未来量子电路中要考虑的每个设备的性能进行定量洞察力。此处提出的框架具有提取参数时突出量子对之间的一致性的其他好处，这与一次评估整个设备相比，这会导致计算上昂贵的校准过程。
In recent years, Noisy Intermediate Scale Quantum (NISQ) computers have been widely used as a test bed for quantum dynamics. This work provides a new hardware-agnostic framework for modelling the Markovian noise and dynamics of quantum systems in benchmark procedures used to evaluate device performance. As an accessible example, the application and performance of this framework is demonstrated on IBM Quantum computers. This framework serves to extract multiple calibration parameters simultaneously through a simplified process which is more reliable than previously studied calibration experiments and tomographic procedures. Additionally, this method allows for real-time calibration of several hardware parameters of a quantum computer within a comprehensive procedure, providing quantitative insight into the performance of each device to be accounted for in future quantum circuits. The framework proposed here has the additional benefit of highlighting the consistency among qubit pairs when extracting parameters, which leads to a less computationally expensive calibration process than evaluating the entire device at once.
