Author

Ashis Kumar Pati

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Review Open access 2026

Quantum Machine Learning: Foundational Principles to Practical Applications

This survey provides a comprehensive overview of the theoretical foundations, unified taxonomy, and key methodologies in QML, and discusses quantum data encoding techniques, variational quantum models, neural-inspired quantum architectures, and quantum data learning approaches, along with their associated challenges an...

Ashis Kumar Pati, Rajesh Vayyala, K. Mohanty et al. · IEEE Access · 0 citations

Open access 2026

VQA-Guided Diffusion: Enhancing Text-to-Image Generation With Semantic Feedback From Visual Question Answering

It is shown that VQA can serve as an effective semantic feedback to significantly enhance prompt-image alignment without retraining the diffusion model, providing a powerful, interpretable and self-correcting strategy for text-to-image production.

Debashish Bhowmik, Ishika Maity, Ashis Kumar Pati · IEEE Access · 0 citations