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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. Machine learning

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

  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. 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

  5. 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

  6. Quantum mechanics

    Quantum mechanics (QM; also known as quantum physics, quantum theory, the wave mechanical model, or matrix mechanics), including quantum field theory,

  7. Outline of machine learning

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

  8. Quantum neural network

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

  9. Quantum computing

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

  10. Quantum technology

    quantum computing, quantum sensors, quantum cryptography, quantum simulation, quantum metrology and quantum imaging -- based on properties of quantum