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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. 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

  4. Machine learning

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    learning List of datasets for machine learning research Predictive analytics Quantum machine learning Machine-learning applications in bioinformatics

  5. 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

  6. Quantum neural network

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    (which are widely used in machine learning for the important task of pattern classification) with the advantages of quantum information in order to develop

  7. Quantum computing

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    computing Post-quantum cryptography Quantum annealing Quantum bus Quantum cognition Quantum cryptography Quantum gate Quantum machine learning Quantum threshold

  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. List of companies involved in quantum computing or communication

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    engaged in the development of quantum computing or quantum communication. Quantum computing and communication are two sub-fields of quantum information science

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