Quantum Machine Learning

An efficient quantum algorithm for ensemble classification using bagging
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A Variational Algorithm for Quantum Single Layer Perceptron
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Enabling Non-linear Quantum Operations Through Variational Quantum Splines
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MAQA: a quantum framework for supervised learning
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A Novel Framework for Quantum Machine Learning
This dissertation introduces the Multiple Aggregator Quantum Algorithm (MAQA), aiming to bridge classical machine learning with quantum computing. MAQA serves as a versatile framework for quantum machine learning, addressing linear operation constraints and offering potential advancements in computational complexity theory.
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A Novel Framework for Quantum Machine Learning
A Variational Algorithm for Quantum Neural Networks
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Quantum Algorithm for Ensemble Learning
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Quantum splines for non-linear approximations
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