Exploring the Role of Material Science in Advancing Quantum Machine Learning: A Scientometric Study
Quantum Machine Learning (QML) opens up exciting possibilities for tackling problems that are incredibly complex and consume a lot of time. The drive to make QML a reality has sparked significant progress in material science, inspiring a growing number of research publications in the field. In this...
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| Main Authors: | Manish Tomar, Sunil Prajapat, Dheeraj Kumar, Pankaj Kumar, Rajesh Kumar, Athanasios V. Vasilakos |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
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| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/6/958 |
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