Vetter Philipp J, Reisser Thomas, Hirsch Maximilian G, Calarco Tommaso, Motzoi Felix, Jelezko Fedor, Müller Matthias M
Institute for Quantum Optics, Ulm University, Ulm, Germany.
Center for Integrated Quantum Science and Technology (IQST), Ulm, Germany.
npj Quantum Inf. 2024;10(1):96. doi: 10.1038/s41534-024-00893-y. Epub 2024 Oct 2.
A recurring challenge in quantum science and technology is the precise control of their underlying dynamics that lead to the desired quantum operations, often described by a set of quantum gates. These gates can be subject to application-specific errors, leading to a dependence of their controls on the chosen circuit, the quality measure and the gate-set itself. A natural solution would be to apply quantum optimal control in an application-oriented fashion. In turn, this requires the definition of a meaningful measure of the contextual gate-set performance. Therefore, we explore and compare the applicability of quantum process tomography, linear inversion gate-set tomography, randomized linear gate-set tomography, and randomized benchmarking as measures for closed-loop quantum optimal control experiments, using a macroscopic ensemble of nitrogen-vacancy centers in diamond as a test-bed. Our work demonstrates the relative trade-offs between those measures and how to significantly enhance the gate-set performance, leading to an improvement across all investigated methods.
量子科学与技术中一个反复出现的挑战是对其基础动力学进行精确控制，以实现所需的量子操作，这些操作通常由一组量子门来描述。这些量子门可能会出现特定应用的误差，导致其控制依赖于所选的电路、质量度量以及门集本身。一个自然的解决方案是以面向应用的方式应用量子最优控制。反过来，这需要定义一种有意义的上下文门集性能度量。因此，我们以金刚石中的宏观氮空位中心系综作为测试平台，探索并比较量子过程层析成像、线性反演门集层析成像、随机线性门集层析成像和随机基准测试作为闭环量子最优控制实验度量的适用性。我们的工作展示了这些度量之间的相对权衡，以及如何显著提高门集性能，从而在所有研究方法中都实现改进。
