Image Data for "Quantum Computing Dataset of Maximum Independent Set Problem on King’s Lattice of over Hundred Rydberg Atoms" from Exp 1 to 30
收藏Figshare2023-11-20 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Image_Data_for_Quantum_Computing_Dataset_of_Maximum_Independent_Set_Problem_on_King_s_Lattice_of_over_Hundred_Rydberg_Atoms_from_Exp_1_to_30/24503680
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This is Image Data for Exp 1 to 30 described from "Quantum Computing Dataset of Maximum Independent Set Problem on King’s Lattice of over Hundred Rydberg Atoms". Raw image files are in TIF format, constituting a list of image files structured as a three-dimensional array. The first two dimensions denote the image, while the third dimension represents the stack of images across experimental repetitions. Due to the substantial file size, raw data is segmented into multiple files for the same experiments, named as ‘Exp{Exp#}_X{#}.tif’, where Exp# corresponds to the experiment index, and # is assigned in sequential order. The raw data can be utilized to generate fluorescence data (‘flouAreshape’) and digitized data (‘floudigreshape’), provided in https://doi.org/10.6084/m9.figshare.23828004, using the code (‘Digitze_Data.m’) available on https://doi.org/10.6084/m9.figshare.23911368.Finding the maximum independent set (MIS) of a large-size graph is a nondeterministic polynomial-time (NP)-complete problem not efficiently solvable with classical computations but may be suitable for quantum computation. In recent years, there are growing interests in using Rydberg-atom arrays to solve the MIS problem. Here, we report a set of quantum adiabatic computing data of Rydberg-atom experiments performed with up to 141 atoms randomly arranged on the King’s lattice. A total of 582,916 events of Rydberg-atom measurements are collected for experimental MIS solutions of 733,853 different graphs. We provide the raw image data along with the entire binary determinations of the measured many-body ground states and the classified graph data, to offer bench-mark testing and advanced data-driven analyses for validation of the performance of the Rydberg-atom approach as well as system improvements.
创建时间:
2023-11-20



