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  2. List of companies involved in quantum computing or ...

    en.wikipedia.org/wiki/List_of_companies_involved...

    Quantum Algorithms, Quantum Programming, Quantum Machine Learning, [36] Quantum Software Tools, Open Source Software: Center for Quantum Technologies, National University of Singapore: Singapore: Fujitsu [37] September 28, 2015: Communication Quantum Dots: University of Tokyo: Tokyo, Japan Google QuAIL [38] May 16, 2013: Computing ...

  3. Quantedge - Wikipedia

    en.wikipedia.org/wiki/Quantedge

    Quantedge employs a systematic investment strategy that uses statistical models to invest across major macro asset classes such as bonds, equities, commodities, currencies and reinsurance.

  4. Qiskit - Wikipedia

    en.wikipedia.org/wiki/QISKit

    The element Terra is the foundation on which the rest of Qiskit is built. Qiskit Terra provides tools to create quantum circuits at or close to the level of quantum machine code. [16] It allows the processes that run on quantum hardware to be explicitly constructed in terms of quantum gates. It also provides tools to allow quantum circuits to ...

  5. Quantum engineering - Wikipedia

    en.wikipedia.org/wiki/Quantum_engineering

    Quantum computers are expected to have a number of important uses in computing fields such as optimization and machine learning. They are perhaps best known for their expected ability to carry out Shor's algorithm, which can be used to factorize large numbers and is an important process in the securing of data transmissions.

  6. Quantum Turing machine - Wikipedia

    en.wikipedia.org/wiki/Quantum_Turing_machine

    A quantum Turing machine (QTM) or universal quantum computer is an abstract machine used to model the effects of a quantum computer. It provides a simple model that captures all of the power of quantum computation—that is, any quantum algorithm can be expressed formally as a particular quantum Turing machine.

  7. Quantum machine learning - Wikipedia

    en.wikipedia.org/wiki/Quantum_machine_learning

    Quantum machine learning also extends to a branch of research that explores methodological and structural similarities between certain physical systems and learning systems, in particular neural networks. For example, some mathematical and numerical techniques from quantum physics are applicable to classical deep learning and vice versa. [23 ...

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