Hybrid quantum methods have received limited study for resource-constrained facial biometrics. We present a hybrid quantum-classical facial recognition pipeline designed to run on standard computing hardware. Images undergo gamma correction, contrast enhancement, and principal component analysis before their features a...
Roshan Babu Bandlapalli, Srinivas V. Katakam, Jitendra Chougala et al.· 0 citations
This paper presents a hybrid quantum-classical framework for grayscale image compression and decompression, leveraging the strengths of quantum computing and deep learning. The compression pipeline integrates a Variational Quantum Daubechies Wavelet Transform (V-QDWT) and a trainable Quantum Convolutional Neural Networ...
Harshdeep Jadhav, S. Warrier, Jayasri Dontabhaktuni· 0 citations
This work builds an order parameter combining the predicted distribution with embedding overlap, as a density matrix, and shows sharp jumps resembling phase transitions, which characterize this near-synonym mechanism and need recalibration before extrapolation.
V. Prakash, J. Dontabhaktuni· arXiv.org· 0 citations
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