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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

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

  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. 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

  6. 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

  7. Theoretical computer science

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    computation, quantum computation, automata theory, information theory, cryptography, program semantics and verification, machine learning, computational

  8. 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

  9. LLL

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    League, an Australian Religious Charitable Development Fund Low-level programming language, such as machine code or assembly Lenstra–Lenstra–Lovász lattice

  10. List of datasets for machine-learning research

    aimlexchange.com/search/wiki/page/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

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