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  1. Quantum machine learning

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    Quantum machine learning is an emerging interdisciplinary research area at the intersection of quantum physics and machine learning. The most common use

  2. Quantum programming

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    Quantum programming is the process of assembling sequences of instructions, called quantum programs, that are capable of running on a quantum computer

  3. Quantum machine

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    A quantum machine is a human-made device whose collective motion follows the laws of quantum mechanics. The idea that macroscopic objects may follow the

  4. Machine learning in physics

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    Applying classical methods of machine learning to the study of quantum systems (sometimes called quantum machine learning) is the focus of an emergent

  5. Machine learning

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    for machine learning research Predictive analytics Quantum machine learning Machine-learning applications in bioinformatics Seq2seq Fairness (machine learning)

  6. Artificial intelligence

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    learning. Logic was also the focus of the work at the University of Edinburgh and elsewhere in Europe which led to the development of the programming

  7. Quantum memory

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    algorithms than classical information storage. Quantum memory is essential for the development of many devices in quantum information processing, including a synchronization

  8. List of datasets for machine-learning research

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    for machine-learning research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major

  9. Outline of machine learning

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    Cross-disciplinary fields involving machine learning Adversarial machine learning Predictive analytics Quantum machine learning Robot learning Developmental robotics

  10. Q Sharp

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    programming language used for expressing quantum algorithms. It was initially released to the public by Microsoft as part of the Quantum Development Kit

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