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Searching in Grover's Algorithm

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arxiv quant-ph/9901021 v1 pith:LTFXLVJY submitted 1999-01-09 quant-ph

classification quant-ph
keywords algorithmgrovercompounditerationwhatalgebraalthoughclarification
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abstract

Grover's algorithm is usually described in terms of the iteration of a compound operator of the form $Q = - H I_{0} H I_{x_0}$. Although it is quite straightforward to verify the algebra of the iteration, this gives little insight into why the algorithm works. What is the significance of the compound structure of $Q$? Why is there a minus sign? Later it was discovered that $H$ could be replaced by essentially any unitary $U$. What is the freedom involved here? We give a description of Grover's algorithm which provides some clarification of these questions.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Leveraging Quantum Layers in Classical Neural Networks

    quant-ph 2025-07 reject novelty 4.0 of 10

    A hybrid quantum-classical CNN for causality classification works only with a Pauli XYZ feature map, and deeper quantum ansatzes appear to act as implicit regularizers in single-run experiments.

  2. Quantum Computing for Partition Function Estimation of a Markov Random Field in a Radar Anomaly Detection Problem

    cs.ET 2025-01 conditional novelty 3.0 of 10

    Simulations show a one-clean-qubit algorithm estimates partition functions of small binary Markov random fields, with errors matching the expected sample-size trend.

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