A single flat metalens now handles both excitation and fluorescence collection for diamond quantum sensors, enabling nanoscale sensing in spaces too tight for conventional optics.
My academic path studying physics at Tsinghua University began in 1981 where I completed a Bachelor’s and Master’s before earning a PhD in 1992. I then did a postdoc at the Central Iron & Steel ...
Rydberg atoms are atoms with one or more outer electrons excited to very high energy levels, which interact very strongly with each other. These atoms are widely used to run quantum simulations and ...
Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...
Dr. Andreas Erdmann, head of the Computational Lithography and Optics group at Fraunhofer IISB for decades and SPIE (International Society for Optics and Photonics) Fellow since 2016, has been honored ...
This project aims to develop a computational framework combining computer vision, computer graphics, and machine learning to accelerate and improve the design and simulation of camera lenses.
Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
Scientists have unveiled a new way to capture ultra-sharp optical images without lenses or painstaking alignment. The approach uses multiple sensors to collect raw light patterns independently, then ...
ABSTRACT: Critical to the safe, efficient, and reliable operation of an autonomous maritime vessel is its ability to perceive the external environment through onboard sensors. For this research, data ...
New research from UBC Okanagan mathematically demonstrates that the universe cannot be simulated. Using Gödel’s incompleteness theorem, scientists found that reality requires “non-algorithmic ...
Researchers have mathematically proven that the universe cannot be a computer simulation. Reality, they argue, is rooted in a “non-algorithmic understanding” that no algorithm could ever replicate.