Publications and accepted technical papers

An end-to-end hybrid pipeline coupling a single-qubit QRU forecaster with a correlation-aware CVaR/QUBO allocation objective and a QAOA solver for spatial flood tail-risk decisions.

A single-qubit QRU architecture for time-series learning, evaluated on chaotic and real environmental data with matched classical and quantum baselines and an analysis of spectral expressivity.

A systematic study of single-qubit quantum data re-uploading for calorimetric particle identification, examining circuit and training hyperparameters under NISQ-oriented resource constraints.

Summary:
This article benchmarks QRU, PQC, VQC, and QRB architectures on chaotic and real-world datasets, showing that QRUs combine stability and expressivity suitable for streaming-data forecasting on NISQ hardware.