3 papers
cs.LG2026
QuaRK: A Quantum Reservoir Kernel for Time Series Learning
Abdallah Aaraba, Soumaya Cherkaoui, Ola Ahmad +1
Quantum reservoir computing offers a promising route for time series learning by modelling sequential data via rich quantum dynamics while the only training required happens at the…
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…