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  1. Quantum machine learning

    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

    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

    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

    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

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

  6. Artificial intelligence

    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

    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

    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

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

  10. Q Sharp

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