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Fluorescence data, digitized data, Rabi frequency calibration data, trap position data and trap depth data for "Quantum Computing Dataset of Maximum Independent Set Problem on King’s Lattice of over Hundred Rydberg Atoms"

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DataCite Commons2023-11-14 更新2024-08-18 收录
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https://figshare.com/articles/dataset/Fluorescence_data_digitized_data_Rabi_frequency_calibration_data_trap_position_data_and_trap_depth_data_for_Quantum_Computing_Dataset_of_Maximum_Independent_Set_Problem_on_King_s_Lattice_of_over_Hundred_Rydberg_Atoms_/23828004
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This is fluorescence data, digitized data, Rabi frequency calibration data, trap position data, and trap depth data described from "Quantum Computing Dataset of Maximum Independent Set Problem on King’s Lattice of over Hundred Rydberg Atoms".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.
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figshare
创建时间:
2023-11-14
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