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quant-ph2024
LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder
Alexis Vieloszynski, Soumaya Cherkaoui, Ola Ahmad +4
Quantum machine learning consists in taking advantage of quantum computations to generate classical data. A potential application of quantum machine learning is to harness the powe…
cs.LG2024
QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting
Abdallah Aaraba, Soumaya Cherkaoui, Ola Ahmad +4
Forecasting in probabilistic time series is a complex endeavor that extends beyond predicting future values to also quantifying the uncertainty inherent in these predictions. Gauss…