Artificial Intelligence #quantum-inspired#sequence learning
Gated QKAN-FWP: Quantum-Inspired Sequence Learning Achieves Parameter Efficiency on NISQ Devices
A new quantum-inspired sequence learning model, Gated QKAN-FWP, uses single-qubit data re-uploading circuits to achieve high accuracy with only 12,500 parameters on long-horizon forecasting tasks. The model outperforms classical recurrent networks such as LSTM and WaveNet-LSTM while being deployable on current NISQ quantum hardware from IonQ and IBM.
Jun 16, 2026 1 source