A hybrid RWKV model with a four-qubit variational circuit in its channel-mixing layer beats the classical RWKV on six of ten synthetic forecasting tasks by mean error, though the differences are mostly within one standard deviation.
Introduction to pytorch.Deep learning with python: learn best practices of deep learning models with PyTorch, pages 27–91, 2021
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Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting
A hybrid RWKV model with a four-qubit variational circuit in its channel-mixing layer beats the classical RWKV on six of ten synthetic forecasting tasks by mean error, though the differences are mostly within one standard deviation.