Quantum Re-Upload Units: A Scalable and Expressive Approach for Time Series Learning

Published in University of Waikato & École Polytechnique (IP Paris), 2024

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.