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  1. Grover's algorithm - Wikipedia

    • Grover's algorithm, along with variants like amplitude amplification, can be used to speed up a broad range of algorithms. In particular, algorithms for NP-complete problems which contain exhaustive searc展开

    Problem Description

    As input for Grover's algorithm, suppose we have a function f : { 0 , 1 , … , N − 1 } → { 0 , 1 } {\displaystyle f\colon \{0,1,\ldots ,N-1\}\to \{0,1\}} . In the "unstructured database" analo… 展开

    Wikipedia
    Algorithm

    The steps of Grover's algorithm are given as follows: 1. Initialize the system to the uniform s… 展开

    Wikipedia
    Geometric Proof of Correctness

    There is a geometric interpretation of Grover's algorithm, following from the observation that the quantum state of Grover's algorithm stays in a two-dimensional sub… 展开

    Wikipedia
    Algebraic Proof of Correctness

    To complete the algebraic analysis, we need to find out what happens when we repeatedly apply U s U ω {\displaystyle U_{s}U_{\omega }} . A natural way to do this is by eigenv… 展开

    Wikipedia
    Extensions and Variants

    Multiple matching entries
    If, instead of 1 matching entry, there are k matching entries, the same algorithm works, but the number of iterations must be π 4 ( N k ) 1 / 2 {… 展开

    Wikipedia
     
  1. [quant-ph/0504012] Quantum search algorithms - arXiv.org

  2. [1602.02730] A Review on Quantum Search Algorithms - arXiv.org

  3. A review on quantum search algorithms | Quantum Information

  4. Quantum algorithms: an overview | npj Quantum Information

  5. Complete 3-Qubit Grover search on a programmable …

    网页2017年12月4日 · Here, we report results for a complete three-qubit Grover search algorithm using the scalable quantum computing technology of trapped atomic ions, with better-than-classical performance.

  6. Quantum Search Algorithms | part of Artificial ... - IEEE Xplore

  7. Implementing a quantum search algorithm with nonorthogonal …

  8. Experimental demonstration of deterministic quantum search …

  9. Optimization of a probabilistic quantum search algorithm with