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A typology of quantum algorithms

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arxiv 2407.05178 v1 pith:H5VLGSEX submitted 2024-07-06 quant-ph cs.ET

classification quant-phcs.ET
keywords algorithmsquantumidentifyingtheyaccordingadvantagealgorithmicapplications
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We draw the current landscape of quantum algorithms, by classifying about 130 quantum algorithms, according to the fundamental mathematical problems they solve, their real-world applications, the main subroutines they employ, and several other relevant criteria. The primary objectives include revealing trends of algorithms, identifying promising fields for implementations in the NISQ era, and identifying the key algorithmic primitives that power quantum advantage.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 2 citations worldwide. Full citation record

  1. AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization

    quant-ph 2026-08 conditional novelty 6.0 of 10

    AutoQuREO automates full-stack quantum resource estimation by learning surrogate models from small compilations and using them for scalable multi-objective co-design, demonstrated on Trotter simulation, iQPE with erro...

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