Optimization Strategies in Quantum Machine Learning: A Performance Analysis
Nouf Ali AL Ajmi, Muhammad Shoaib • Applied Sciences
(2025)
This study presents a comprehensive comparison of multiple optimization algorithms applied to a quantum classification model, utilizing the Cleveland dataset. Specifically, the research focuses on three prominent optimizers—COBYLA, L-BFGS-B...
DOAJ
Open Access (DOAJ)
DOI:
10.3390/app15084493