Information about Test

  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. Machine learning

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

  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. Outline of machine learning

    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

    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

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

  8. 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

  9. LLL

    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

    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