Work
Study uncovers the fundamental mechanisms underlying the formation of polarons in 2D atomic crystals
Polarons are localized quasiparticles that result from the interaction between fermionic particles and bosonic fields. Specifically, polarons are formed when individual electrons in crystals distort...
The experimental observation of quantum avalanches in a many-body localized system
Strongly correlated systems are systems made of particles that strongly interact with one another, to such an extent that their individual behavior depends on the behavior of all other particles in...
A system integrating echo state graph neural networks and analogue random resistive memory arrays
Graph neural networks (GNNs) are promising machine learning architectures designed to analyze data that can be represented as graphs. These architectures achieved very promising results on a variety...
Study explores the potential and shortcomings of ChatGPT in SPC, education and research
At the end of November 2022, the San Francisco-based company OpenAI launched its prototype of ChatGPT, an artificial intelligence (AI)-based chatbot that can answer a wide range of questions in...
Study identifies a new synthesis technique to attain monolayer honeycomb SiC
Silicon carbide (SiC) is a hard crystalline compound of silicon and carbon that rarely occurs in nature and is generally synthetically produced. In addition to being used to create ceramic plates,...
A system that allows robots to cut objects made of multiple materials
Humans innately learn to adapt their movements based on the materials they are handling and the tasks that they are trying to complete. When chopping specific fruits or vegetables, for instance,...
A deep learning and model predictive control framework to control quadrotors and agile robots
In recent years, computer scientists have developed increasingly advanced algorithms for controlling the movements of robotic agents. These include model predictive control (MPC) techniques, which...
A framework to self-test all entangled states using quantum networks
Self-testing is a promising method to infer the physics underlying specific quantum experiments using only collected measurements. While this method can be used to examine bipartite pure entangled...
Aluminum-based low-loss interconnects for superconducting quantum processors
Quantum processors are computing systems that process information and perform computations by exploiting quantum mechanical phenomena. These systems could significantly outperform conventional...
A robot that can autonomously explore real-world environments
Roboticists have developed many advanced systems over the past decade or so, yet most of these systems still require some degree of human supervision. Ideally, future robots should explore unknown...