Bikash K. Behera

A novel recurrent quantum neural network architecture achieves a 25% reduction in two-qubit gates for fault diagnosis while boosting predictive performance on specific imbalanced datasets.

Quantum-inspired time series analysis can reduce meta-optimization overhead by explicitly showing where quantum effects enter order discovery, lag refinement, and AR/MA parameter estimation.

Quantum measurement techniques offer a novel way to probabilistically transform images, going beyond segmentation and thresholding to directly manipulate pixel intensities with adaptive, Gaussian-derived operators.