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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. Machine learning

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

  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. 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

  5. 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

  6. Quantum mechanics

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    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

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

  8. 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

  9. Quantum computing

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

  10. Quantum technology

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

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