CERN
Author in the following contributions
- Embedding of particle tracking data using hybrid quantum classical neural networks
- Higgs analysis with quantum classifiers
- Dual-Parameterized Quantum Circuit GAN Model in High Energy Physics
- Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations
- Accelerating GAN training using highly parallel hardware on public cloud
- Convolutional LSTM models to estimate network traffic
- Deep Learning strategies for ProtoDUNE raw data denoising
