Topological features can arise when you combine materials or lattices of different configurations at the interface. Individual elements of the lattice can be engineered to select modes which do not propagate into the rest of the system (by splitting them), and the rest would be able to, using Floquet optical ring resonators. We propose to […]

Les ordinateurs quantiques promettent de réaliser des calculs et des simulations en manipulant l’état quantique de particules. Ainsi, le développement de cette technologie demande de concevoir des systèmes pouvant réaliser ces manipulations. Dans les dernières années, plusieurs modèles ont été proposés pour permettre le déplacement d’états quantiques. D’autres ont aussi été proposés afin de créer […]

Multiple applications in dual comb spectroscopy are limited by low signal levels with respect to the noise. This limits the quality of the spectroscopic measurements. The goal of this project is to develop a new measurement technique that allows us to increase the signal to noise ratio in dual comb spectroscopy by exceeding the semi-classical […]

Engineering graphene-based devices with exceptional nonlinear optical properties in the terahertz (THz) region play a crucial role in the advancement of THz technologies. We investigate how a metamaterial system consisting of a plasmonic structure enhances THz light-graphene interaction, thus leading to a higher nonlinearity in graphene. A variety of the plasmonic structures will be used […]

Engineered dissipation is an important technique to prepare quantum resources, such as spin-squeezed states, for quantum sensing and computing. Compared with traditional coherent approach, engineered dissipation is generally less demanding in control precision and more robust against noise. However, the efficiency dissipative spin squeezing can be affected by unwanted interaction. It would be highly desirable […]

Realistic quantum computers unavoidably suffer from physical imperfections, such as environmental influence and imprecise control. An imperfect quantum computer will introduce computational error, so quantum error correction (QEC) is necessary to improve information accuracy. Standard QEC assumes an implementing circuit that involves a typical set of logic gates. However, not all the standard gates can […]

Magnetic field sensing is intrinsically sensitive to its environment. In this project, we are developing compensation tools to mitigate against different types of magnetic noise to enhance the accuracy of a quantum magnetometer and of a platform including multiple magnetometers. Data will be collected at various magnetic characterization facilities to inform a ML based correction […]

In the last 30 years, the theory of optimal transportation has emerged as a fertile field of inquiry, and a diverse tool for exploring applications within and beyond mathematics, in such diverse fields as economics, meteorology, geometry and engineering. More recently, it has empowers today’s machine learning research and become one of the most emerging […]

Photocatalysis is one of the most exciting solar light-assisted applications, in which energy is converted using semiconductor materials and the synergistic effect of light photons and catalyst. Polymeric graphitic carbon nitride (gCN) nanomaterials is one of such photocatalyst which has undergone a resurgence as viable supports and co-catalysts in photocatalysis because of their tunable reaction […]

The ability to simulate chemistry accurately allows for significant developments in many fields such as material and drug discovery. Unfortunately, the underlying equations that describe chemistry become exponentially harder to solve as we increase the size of the system. This makes it impossible for us to accurately simulate useful molecules on classical computers. A potential […]

The main challenge in using polymers in outdoor application is to extend their life time and make them stable against sunlight. Recently, graphene has been suggested as a new type of polymer photo-stabilizer to replace toxic and harmful photo-stablizers commonly used. The main challenge is to understand protective mechanisms of its action. Is it a […]

Les méthodes de calcul de structure électronique, en chimie computationnelle, permettent de prédire et d’interpréter les propriétés des molécules. Depuis quelques décennies, la théorie de la fonctionnelle de la densité (DFT) s’impose par rapport à d’autres méthodes de calcul de structures électroniques, comme celles qui sont basées sur la fonction d’onde (WFT), de par son […]