14 citations · 15 across the 8 of their papers we have counts for
8 papers
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.…
A Resource Efficient Quantum Kernel
Utkarsh Singh, Jean-Frédéric Laprade, Aaron Z. Goldberg +1
Quantum processors may enhance machine learning by mapping high-dimensional data onto quantum systems for processing. Conventional feature maps, for encoding data onto a quantum ci…
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…
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…
User Trajectory Prediction in Mobile Wireless Networks Using Quantum Reservoir Computing
Zoubeir Mlika, Soumaya Cherkaoui, Jean Frédéric Laprade +1
This paper applies a quantum machine learning technique to predict mobile users' trajectories in mobile wireless networks using an approach called quantum reservoir computing (QRC)…
Large electronic bandwidth in solution-processable pyrene crystals: The role of close-packed crystal structure
Francoise Provencher, Jean-Frederic Laprade, Gabrielle Simard +3
We examine the interdependence of structural and electronic properties of two substituted pyrene crystals by means of combined spectroscopic probes and density-functional theory ca…