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QLIF-CAST: Quantum Leaky-Integrate-and-Fire for Time-Series Weather Forecasting
Accurate and efficient time-series forecasting remains a challenging problem for both classical and quantum neural architectures, particularly in multivariate environmental settings. This work adapts the Quantum Leaky Integrate-and-Fire (QLIF) spiking neural network for time-series regression tasks,
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