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Quantum functionalities In this survey, we focus mainly on classical functionalities, but quantum functionalities are of course also of interest: assuming full quantum computers for all parties, one can
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Quantum machine learning is a field that merges quantum computing and machine learning techniques to process data and improve learning algorithms.
Researchers and institutions working on quantum machine learning projects or utilizing quantum computing in their machine learning workflows may be required to file relevant documentation.
Filing in quantum machine learning typically involves submitting research findings, methodologies, and computational models using standardized forms provided by associated organizations or regulatory bodies.
The purpose of quantum machine learning is to leverage quantum computing capabilities to enhance the efficiency and capabilities of machine learning algorithms, enabling new insights from complex datasets.
Information required for reporting typically includes project objectives, methodologies, experimental results, and any ethical considerations related to the quantum machine learning research.
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