Machine learning techniques have been successful for processing complex information, and thus they have the potential to play an important role in data-driven decision-making and control. However, ensuring the reliability of these methods in feedback systems remains a challenge, since classic statistical and algorithmic guarantees do not always hold. In this talk, I will provide […]
The efficient use of electrical energy is a foundation of modern society. Power electronics is at the core of electrical energy conversion and greatly impacts a system’s size, performance, and cost. High-performance miniaturized power electronics can be a key enabling technology for many emerging applications, such as electric vehicles (EV), medical devices, and soft- and […]
Coupled with powerful function approximators such as deep neural networks, reinforcement learning (RL) achieves tremendous empirical successes. However, its theoretical understandings lag behind. In particular, it remains unclear how to provably attain the optimal policy with a finite regret or sample complexity. In this talk, we will present the two sides of the same coin, […]
Surpassing the fundamental limits that govern all electromagnetic structures, such as reciprocity and the delay-bandwidth-size limit, will have a transformative impact on all applications based on electromagnetic circuits and systems. For instance, violating principles of reciprocity enables non-reciprocal components such as isolators and circulators, which find application in full-duplex wireless radios, radar, bio-medical imaging, and […]
Scaling up next-generation photonic systems in a resource-efficient manner is a ubiquitous challenge for quantum technologies such as quantum networks, quantum simulation and computation, and for classical technologies such as photonic neural networks, LiDAR and communications. From a fundamental perspective, high-dimensional lattices hold promise for realizing and manipulating exotic states of light and matter, complementing […]
Across the globe, physicists in academia and industry alike are competing to be the first to build a scalable universal quantum computer. Amongst the multitudes of quantum computing architectures, solid-state quantum processors based on spins in silicon are emerging as a strong contender. Silicon is an ideal material to host spin qubits: it supports long […]
Abstract: Machine learning accelerated catalyst discovery efforts has seen much progress in the last few years. Datasets of computational calculations have improved, models to connect surface structure with electronic structure or adsorption energies have gotten more sophisticated, and active learning exploration strategies are becoming routine in discovery efforts. However, there are several large challenges that […]
Recent advances in nanofabrication technology have allowed for the realization of ultra-low loss nanophotonic waveguides and is opening up exciting opportunities for next-generation nonlinear photonic circuits with higher integration density, advanced functionalities, and ultralow energy consumption. Those features are critical for advancing photonic technologies in both classical and quantum domains. In this talk, I will […]
Quantum technologies have the potential to revolutionize sensing, communication, and computation. To realize this potential, it will be necessary to scale the size and complexity of engineered quantum systems by several orders of magnitude, without sacrificing coherence or fidelity. Trapped ion qubits provide unparalleled coherence and are a leading platform for current small-scale quantum technology […]
Abstract: The presence of particles such as dust and pollen affect cloud microphysics significantly through their effect on the state of water. These particles can hinder or accelerate the liquid-to-solid transition of water, and also affect the ice polymorph formed in the clouds. This indirectly cloud reflectivity, cloud lifetime, and precipitation rates. While a predominant […]
