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Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Dir...

Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Dir...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_20b94082377442869c2702ce6b7d16d3

Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Directions

About this item

Full title

Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Directions

Publisher

Basel: MDPI AG

Journal title

Mathematics (Basel), 2024-11, Vol.12 (21), p.3318

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Quantum computing and machine learning (ML) have received significant developments which have set the stage for the next frontier of creative work and usefulness. This paper aims at reviewing various data-encoding techniques in Quantum Machine Learning (QML) while highlighting their significance in transforming classical data into quantum systems....

Alternative Titles

Full title

Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Directions

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_20b94082377442869c2702ce6b7d16d3

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_20b94082377442869c2702ce6b7d16d3

Other Identifiers

ISSN

2227-7390

E-ISSN

2227-7390

DOI

10.3390/math12213318

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