Quantum Algorithms’ Approach: A Case Study on Bladeless Wind Turbine and Solar Panel
The researched data shows that quantum algorithms have been mostly used for battery’s chemistry and conventional grid systems. These algorithms have proved to be computationally cheaper as a common meritorious aspect in almost all implementations. However, usage of quantum algorithms to i...
Saved in:
| Main Authors: | Piyush Kumar Sinha, R. Marimuthu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11005493/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Quantum computing for molecular vibrational energies: A comprehensive study
by: Somasundaram R., et al.
Published: (2025-06-01) -
Benchmarking Variants of the Adam Optimizer for Quantum Machine Learning Applications
by: Tuan Hai Vu, et al.
Published: (2025-01-01) -
CFD Modeling of the Movement of Bladeless Wind Turbines
by: A. Das, et al.
Published: (2024-01-01) -
Evaluating quantum-classical heuristics for traveling salesman problem
by: Mariia A. Makarova, et al.
Published: (2025-07-01) -
Practical exploration of quantum computational chemistry simulation in the field of batteries
by: Zhao Tongge, et al.
Published: (2025-02-01)