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Early days following Grover's quantum search algorithm

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arxiv 1709.01236 v1 pith:EYGSNPSS submitted 2017-09-05 quant-ph

classification quant-ph
keywords notequantumalgorithmearlygroversearchaccompanyingback
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This is a note accompanying "CS 410/510: INTRO TO QUANTUM COMPUTING" I taught at Portland State University in Spring 2017. It is a review and summary of some early results related to Grover's quantum search algorithm in a consistent way. I had to go back and forth among several books, notes and original papers to sort out various details when preparing the lectures, which was a pain. This is the motivation behind this note. I would like to thank Peter H{\o}yer for valuable feedback on this note.

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  1. QTP-Net: A Quantum Text Pre-training Network for Natural Language Processing

    quant-ph 2025-05 reject novelty 4.0 of 10

    QTP-Net concatenates probabilities from an adaptive Grover circuit with ERNIE embeddings and reports 0.024 average accuracy gain on sentiment classification and 0.784 F1 on word sense disambiguation.

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