CAQFM adds controlled quantum gates based on Pearson, Spearman, Kendall Tau, Mutual Information, and Distance Correlation measures to create richer feature maps, yielding higher accuracy than standard maps in VQC simulations on three benchmark datasets.
A hybrid quantum-classical neu- ral network architecture for binary classification
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A literature review of VQAs covering ansatz design, classical optimization, barren plateaus, error mitigation strategies, and theoretical adaptations for fault-tolerant quantum computing.
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A Correlation Aware Quantum Feature Map for Variational Quantum Classification
CAQFM adds controlled quantum gates based on Pearson, Spearman, Kendall Tau, Mutual Information, and Distance Correlation measures to create richer feature maps, yielding higher accuracy than standard maps in VQC simulations on three benchmark datasets.
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A Review of Variational Quantum Algorithms: Insights into Fault-Tolerant Quantum Computing
A literature review of VQAs covering ansatz design, classical optimization, barren plateaus, error mitigation strategies, and theoretical adaptations for fault-tolerant quantum computing.