Author

Shyam R. Sihare

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Jul 2026

Novel Quantum-Classical Hybrid Circuits for Adaptive Hardware-Based Machine Learning

Next-generation HQCNN architectures, including DMERA, HEA–QCNN, and (bQCNN) designs, significantly optimized for NISQ hardware are presented, establishing a scalable, parameter-efficient framework for high-performance hybrid quantum-classical ML on near-term devices.

Shyam R. Sihare, A. Cherukuri · SN Computer Science · 0 citations