QLSTM replaces classical gates in LSTM with variational quantum circuits and achieves roughly 20% lower mean absolute error than standard LSTM on battery SOH benchmarks.
Machine learning pipeline for battery state-of-health estimation,
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Quantum-Enhanced Recurrent Neural Networks via Variational Quantum Gating for Battery State of Health Prediction
QLSTM replaces classical gates in LSTM with variational quantum circuits and achieves roughly 20% lower mean absolute error than standard LSTM on battery SOH benchmarks.