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  2. Quantum optimization algorithms - Wikipedia

    en.wikipedia.org/wiki/Quantum_optimization...

    For combinatorial optimization, the quantum approximate optimization algorithm (QAOA) [6] briefly had a better approximation ratio than any known polynomial time classical algorithm (for a certain problem), [7] until a more effective classical algorithm was proposed. [8] The relative speed-up of the quantum algorithm is an open research question.

  3. QuEra Computing Inc. - Wikipedia

    en.wikipedia.org/wiki/QuEra_Computing_Inc.

    QuEra Computing Inc. is a quantum computing company based in Boston, Massachusetts. The company develops quantum computers using neutral atoms based on research conducted at both Harvard University and MIT. QuEra also develops software for simulating systems of Rydberg atoms. [1] [2] and finding solutions to Combinatorial Optimization problems. [3]

  4. Quil (instruction set architecture) - Wikipedia

    en.wikipedia.org/wiki/Quil_(instruction_set...

    Quil is being developed for the superconducting quantum processors developed by Rigetti Computing through the Forest quantum programming API. [5] [6] A Python library called pyQuil was introduced to develop Quil programs with higher level constructs. A Quil backend is also supported by other quantum programming environments. [7] [8]

  5. Quantum algorithm - Wikipedia

    en.wikipedia.org/wiki/Quantum_algorithm

    In quantum computing, a quantum algorithm is an algorithm that runs on a realistic model of quantum computation, the most commonly used model being the quantum circuit model of computation. [ 1 ] [ 2 ] A classical (or non-quantum) algorithm is a finite sequence of instructions, or a step-by-step procedure for solving a problem, where each step ...

  6. Quantum annealing - Wikipedia

    en.wikipedia.org/wiki/Quantum_annealing

    Quantum annealing (QA) is an optimization process for finding the global minimum of a given objective function over a given set of candidate solutions (candidate states), by a process using quantum fluctuations.

  7. Variational quantum eigensolver - Wikipedia

    en.wikipedia.org/wiki/Variational_quantum_eigen...

    In quantum computing, the variational quantum eigensolver (VQE) is a quantum algorithm for quantum chemistry, quantum simulations and optimization problems.It is a hybrid algorithm that uses both classical computers and quantum computers to find the ground state of a given physical system.

  8. Quantum computing - Wikipedia

    en.wikipedia.org/wiki/Quantum_computing

    Neuromorphic quantum computing (abbreviated as ‘n.quantum computing’) is an unconventional computing type of computing that uses neuromorphic computing to perform quantum operations. It was suggested that quantum algorithms, which are algorithms that run on a realistic model of quantum computation, can be computed equally efficiently with ...

  9. Quantum engineering - Wikipedia

    en.wikipedia.org/wiki/Quantum_engineering

    Quantum engineering is evolving into its own engineering discipline. The quantum industry requires a quantum-literate workforce, a missing resource at the moment. Currently, scientists in the field of quantum technology have mostly either a physics or engineering background and have acquired their ”quantum engineering skills” by experience.