Experimental Dataset for Demonstration of Hardware Efficient Photonic Variational Quantum Algorithm
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import pandas as pd with pd.HDFStore('data.h5') as store: df = store['df'] # this pandas dataframe contains the following columns: # # date: starting time of the experiments repetition (index) # cost: list containing the evolution of the cost function value throughout the optimization # tolerance: list containing the evolution of the tolerance value throughout the optimization # ccfreq: coincidence count frequencies at eath step of the optimization, in Herz
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Zenodo创建时间：
2025-07-08
