Quantum Machine Learning: Foundation, New Techniques, and Opportunities for Database Research-Reference-Cited by-同舟云学术

Quantum Machine Learning: Foundation, New Techniques, and Opportunities for Database Research

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:Companion of the 2023 International Conference on Management of Data
language:
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Author:

Winker Tobias¹^ORCID,Groppe Sven¹^ORCID,Uotila Valter²^ORCID,Yan Zhengtong²^ORCID,Lu Jiaheng²^ORCID,Franz Maja³^ORCID,Mauerer Wolfgang³^ORCID

Affiliation:

1. University of Lübeck, Lübeck, Germany

2. University of Helsinki, Helsinki, Finland

3. Technical University of Applied Science Regensburg, Regensburg, Germany

Funder

BMBF

Bundesministerium für Bildung und Forschung

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3555041.3589404

Reference73 articles.

1. Scott Aaronson . 2013. Quantum Computing since Democritus . Cambridge University Press , USA. Scott Aaronson. 2013. Quantum Computing since Democritus. Cambridge University Press, USA.

2. Zainab Abohashima , Mohamed Elhosen , Essam H. Houssein , and Waleed M . Mohamed . 2020 . Classification with Quantum Machine Learning: A Survey . arXiv arXiv:2006.12270 (2020). https://doi.org/10.48550/ARXIV.2006.12270 10.48550/ARXIV.2006.12270 Zainab Abohashima, Mohamed Elhosen, Essam H. Houssein, and Waleed M. Mohamed. 2020. Classification with Quantum Machine Learning: A Survey. arXiv arXiv:2006.12270 (2020). https://doi.org/10.48550/ARXIV.2006.12270

3. Adiabatic Quantum Computation is Equivalent to Standard Quantum Computation

4. Adiabatic quantum computation

5. Ryan Babbush , Alejandro Perdomo-Ortiz , Bryan O'Gorman , William Macready , and Alan Aspuru-Guzik . 2014. Construction of Energy Functions for Lattice Heteropolymer Models: Efficient Encodings for Constraint Satisfaction Programming and Quantum Annealing . John Wiley & Sons, Inc. , Hoboken, New Jersey, 201--244. https://doi.org/10.1002/97811 1875 5815.ch05 10.1002/9781118755815.ch05 Ryan Babbush, Alejandro Perdomo-Ortiz, Bryan O'Gorman, William Macready, and Alan Aspuru-Guzik. 2014. Construction of Energy Functions for Lattice Heteropolymer Models: Efficient Encodings for Constraint Satisfaction Programming and Quantum Annealing. John Wiley & Sons, Inc., Hoboken, New Jersey, 201--244. https://doi.org/10.1002/9781118755815.ch05

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