158 citations
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR11 papers
- CEA GrenobleFR10 papers
- Institut polytechnique de GrenobleFR9 papers
- Université Grenoble AlpesFR9 papers
- Direction de la Recherche TechnologiqueFR8 papers
- Laboratoire d'Électronique des Technologies de l'InformationFR8 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Institut Nanosciences et CryogénieFR2 papers
- Laboratoire d'Intégration des Systèmes et des TechnologiesFR2 papers
- STMicroelectronics (France)FR2 papers
- Université Paris-SaclayFR2 papers
- Aristotle University of ThessalonikiGR1 paper
11 papers
Gigahertz-rate thin-film lithium niobate receiver for time-bin quantum communication
Andrea Bernardi, Marco Clementi, Marcello Bacchi +12
Time-bin encoded quantum states of light are crucial for quantum technology applications. The integration of manipulation functionalities into chip-scale devices is essential for d…
Supercontinuum generation in 2D graphene oxide film coated SiN waveguides
David J. Moss
Enhanced supercontinuum generation (SCG) is experimentally demonstrated in integrated silicon nitride (Si3N4) waveguides incorporating highly nonlinear graphene oxide (GO) in the f…
Coherence of a hole spin flopping-mode qubit in a circuit quantum electrodynamics environment
Léo Noirot, Cécile X. Yu, José C. Abadillo-Uriel +5
The entanglement of microwave photons and spin qubits in silicon represents a pivotal step forward for quantum information processing utilizing semiconductor quantum dots. Such hyb…
Experimental Demonstration of Non-Stateful In-Memory Logic with 1T1R OxRAM Valence Change Mechanism Memristors
Henriette Padberg, Amir Regev, Giuseppe Piccolboni +4
Processing-in-memory (PIM) is attractive to overcome the limitations of modern computing systems. Numerous PIM systems exist, varying by the technologies and logic techniques used.…
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets
Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup +18
Transfer learning and meta-learning offer some of the most promising avenues to unlock the scalability of healthcare and consumer technologies driven by biosignal data. This is bec…
Decoding ECoG signal into 3D hand translation using deep learning
Maciej Śliwowski, Matthieu Martin, Antoine Souloumiac +2
Motor brain-computer interfaces (BCIs) are a promising technology that may enable motor-impaired people to interact with their environment. Designing real-time and accurate BCI is…