A research team led by SKKU professor Hosung Seo of the Department of Quantum Information Engineering and the SKKU Advanced Institute of Nanotechnology, working with the University of Wisconsin–Madison and the University ...
Sending quantum information through a chain of qubits, like energy through a Newton's cradle, could be the key to faster operations and take quantum computing to the next level.
Manchester's quantum researchers are building on the Ferranti Mark I legacy, using ultra-pure silicon and single atoms to move quantum computing closer to real-world impact.
Quantum information is notoriously fragile. Internet traffic is anything but. Yet Northwestern University scientists have demonstrated they can peacefully coexist inside the same fiber-optic cable.
In recent years, research using artificial intelligence to predict material properties has advanced rapidly. Neural network quantum Monte Carlo methods have attracted attention as highly accurate simulation techniques. However, ...
Organic light-emitting diodes (OLEDs) have become a standard in modern devices with incredible contrast and sleek designs. While initially an expensive luxury, OLEDs are gradually becoming more financially accessible as the ...
Many modern technologies, from optical communications and artificial intelligence (AI) hardware to advanced sensors and medical imaging, depend on photonic and semiconductor devices that precisely control the interaction ...
Quantum networks, systems consisting of multiple connected nodes or devices that can transmit quantum information to one another, have the potential to advance future communications. These networks typically leverage entanglement, ...
Scientists at the University of California, Riverside, have developed a new way to help gravitational-wave observatories see farther into the universe by solving one of their biggest challenges: tiny heat-induced distortions ...
Artificial intelligence faces an energy crisis stemming from a physical traffic jam inside modern computer chips. Processors must continually shuffle data, such as the billions of parameters in complex models, between separate ...
