Design and Analysis of Pattern Matching Algorithms Based on QuRAM Processing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s13369-020-05310-y.pdf
Reference28 articles.
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3. Hakak, S.I.; Kamsin, A.: Exact String Matching Algorithms: Survey, Issues, and Future Research Directions. IEEE Access 7, 69614–69637 (2019)
4. Neamatollahi, P.; Hadi, M.; Naghibzadeh, M.: Simple and Efficient Pattern Matching Algorithms for Biological Sequences. IEEE Access 8, 23838–23846 (2020)
5. Faro, S.; Lecroq, T.: The Exact Online String Matching Problem: A Review of the Most Recent Results. ACM Comput. Surv. 45(2), 1–42 (2013)
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1. Efficient Quantum Counting and Quantum Content-Addressable Memory for DNA Similarity;2023 IEEE International Conference on Quantum Computing and Engineering (QCE);2023-09-17
2. Quantum-effective exact multiple patterns matching algorithms for biological sequences;PeerJ Computer Science;2022-05-12
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