Research

Research

  “Computers are physical systems, and so are our brains. Therefore, they are subject to physical laws that determine what they can and cannot calculate,” points out Prof. Itai Arad, a theoretical physicist who researches the field of quantum information. He is determined to better understand physical systems by drawing on tools and insights from a variety of disciplines – including condensed matter physics, information theory, computer science and statistical mechanics. Specifically, Prof.
Quantum computers able to perform complicated lightning-speed computations and quantum communication that can transfer quantum information across the world without it getting lost or being eavesdropped on, are hot buzzwords of our imagined future. Scientists from the Department of Physics and the Solid State Institute at the Technion – Israeli Institute of Technology bring that future one step closer to fruition.
Researchers from the Technion – Israel Institute of Technology and Tel Aviv University have developed an innovative method to engineer quantum entanglement in a crystal by using computational learning tools Quantum optics has proven to be an invaluable resource for the realization of many quantum technologies, such as quantum communication, computing, and cryptography. In the past decade, physics and optics have benefitted greatly from the surge of machine learning-aided research, which has led to novel predictions, experiments, and discoveries.
An illustration of the spatiotemporal imaging of 2D polariton wavepackets using an ultrafast electron microscope, following the recent publication of Kurman et al. from the Kaminer lab in Science. In the video, we show how we generated a wavepacket of 2D-light and how free-electrons in a pump-probe setup are used to probe the whole evolution of a polariton wavepacket from its creation until its decay. https://youtu.be/iYvXxTK_o5k