14 citations · 15 across the 8 of their papers we have counts for
4 papers · 1 filter
Quantum Gated Recurrent GAN with Gaussian Uncertainty for Network Anomaly Detection
Wajdi Hammami, Soumaya Cherkaoui, Jean-Frederic Laprade +2
Anomaly detection in time-series data is a critical challenge with significant implications for network security. Recent quantum machine learning approaches, such as quantum kernel…
Multivariate Time Series Forecasting with Gate-Based Quantum Reservoir Computing on NISQ Hardware
Wissal Hamhoum, Soumaya Cherkaoui, Jean-Frederic Laprade +2
Quantum reservoir computing (QRC) offers a hardware-friendly approach to temporal learning, yet most studies target univariate signals and overlook near-term hardware constraints.…
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…
Successive Data Injection in Conditional Quantum GAN Applied to Time Series Anomaly Detection
Benjamin Kalfon, Soumaya Cherkaoui, Jean-Frédéric Laprade +2
Classical GAN architectures have shown interesting results for solving anomaly detection problems in general and for time series anomalies in particular, such as those arising in c…