Institute for Computational and Data Sciences, University at Buffalo, The State University of New York, Buffalo, New York 14260, United States.
Sandia National Laboratories, P.O. Box 969, MS 9051, Livermore, California 94551, United States.
J Phys Chem Lett. 2021 Jul 29;12(29):6955-6960. doi: 10.1021/acs.jpclett.1c01917. Epub 2021 Jul 20.
A method of uncertainty quantification on a quantum circuit using three samples for the Rh(111)-catalyzed CO oxidation reaction is demonstrated. Three parametrized samples of a reduced, linearized microkinetic model populate a single block diagonal matrix for a quantum circuit. This approach leverages the logarithmic scaling of the number of qubits with respect to matrix size. The Harrow, Hassidim, and Lloyd (HHL) algorithm for solving linear systems is employed, and the results are compared with the classical results. This application area of uncertainty quantification in chemical kinetics can experience a quantum advantage using the method reported here, although issues related to larger systems are discussed.
本文展示了一种使用三个样本对 Rh(111)-催化 CO 氧化反应进行量子电路不确定性量化的方法。三个参数化的简化微观动力学模型样本填充单个量子电路的块对角矩阵。这种方法利用了量子比特数量相对于矩阵大小的对数缩放。使用求解线性系统的哈罗、哈西德姆和劳埃德(HHL)算法,并将结果与经典结果进行比较。尽管讨论了与更大系统相关的问题,但在化学动力学中的不确定性量化这一应用领域,这里报告的方法可以带来量子优势。