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  2. Quantum computing - Wikipedia

    en.wikipedia.org/wiki/Quantum_computing

    A quantum computer is a computer ... the use of quantum annealing hardware for training Boltzmann ... complexity of best possible non-quantum algorithms (which may be ...

  3. Institute for Quantum Computing - Wikipedia

    en.wikipedia.org/.../Institute_for_Quantum_Computing

    The Institute for Quantum Computing was officially created in 2002, sparked by Research In Motion co-founder Mike Lazaridis and then-president of the University of Waterloo, David Johnston, for research into quantum information. Since inception, Lazaridis has provided more than $100 million in private funding for IQC.

  4. Quantum machine learning - Wikipedia

    en.wikipedia.org/wiki/Quantum_machine_learning

    Beyond quantum computing, the term "quantum machine learning" is also associated with classical machine learning methods applied to data generated from quantum experiments (i.e. machine learning of quantum systems), such as learning the phase transitions of a quantum system [18] [19] or creating new quantum experiments. [20] [21] [22]

  5. Qiskit - Wikipedia

    en.wikipedia.org/wiki/QISKit

    Qiskit is made of elements that work together to enable quantum computing. The central goal of Qiskit is to build a software stack that makes it easier for anyone to use quantum computers, regardless of their skill level or area of interest; Qiskit allows users to design experiments and applications and run them on real quantum computers and/or classical simulators.

  6. DiVincenzo's criteria - Wikipedia

    en.wikipedia.org/wiki/DiVincenzo's_criteria

    The DiVincenzo criteria are conditions necessary for constructing a quantum computer, conditions proposed in 1996 by the theoretical physicist David P. DiVincenzo, [1] as being those necessary to construct such a computer—a computer first proposed by mathematician Yuri Manin, in 1980, [2] and physicist Richard Feynman, in 1982 [3] —as a means to efficiently simulate quantum systems, such ...

  7. Why IonQ Is the Best Quantum Computing Stock to Buy ... - AOL

    www.aol.com/why-ionq-best-quantum-computing...

    This revolutionary potential explains why the global quantum computing market is projected to reach $65 billion by 2030 and surge to $850 billion by 2040, according to Boston Consulting Group.

  8. Should You Buy Quantum Computing Stocks in 2025? - AOL

    www.aol.com/buy-quantum-computing-stocks-2025...

    Quantum computing stocks may be next. Companies such as Quantum Computing Inc. (NASDAQ: QUBT) , IonQ (NYSE: IONQ) , and Rigetti Computing (NASDAQ: RGTI) are up big in the last few months.

  9. 2 Quantum Computing Stocks That Could Supercharge Your ... - AOL

    www.aol.com/2-quantum-computing-stocks-could...

    Quantum computing stocks have emerged as one of 2024's hottest investment themes, with the Defiance Quantum ETF (NASDAQ: QTUM) soaring 49.4% year to date, nearly doubling the S&P 500's robust 24.3 ...