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Quantum-inspired tensor network for Earth science
Furthermore, the key contribution of this paper is twofold: (I) we reduced a number of trainable parameters of PINNs by using a quantum-inspired tensor network, and (II) we improved the spectral resolution of remotely-sensed images by employing tensor decomposition.
Coreset of Hyperspectral Images on Small Quantum Computer
Moreover, we trained the SVM on the coreset data by using both a D-Wave QA and a conventional method.
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