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This document discusses the integration of machine learning methods with quantum computing, highlighting the potential improvements quantum algorithms can bring to classical machine learning techniques. It introduces new hybrid methods, including a multiclass tree tensor network algorithm and a neural network approach for quantum tomography, demonstrating their applications on IBM quantum processors. The paper emphasizes the efficiency of quantum algorithms in handling high-dimensional data and presents var

Author

gandhiradhika

Language

EN