Exceptional points, or EPs for short, are among the phenomena of modern physics. These are special points or locations at which the properties of matter, space or time change. In a new theoretical study, researchers from the Institute for Photonic Quantum Systems (PhoQS) at Paderborn University, in collaboration with researchers from the University of Arizona, […]

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.

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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.

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In most everyday materials, such as copper, silver and silicon, the behavior of electrons is relatively predictable. In quantum materials, however, electrons can interact in complex ways, giving rise to collective electronic states with remarkable properties. Understanding how these states emerge—and, ultimately, how to control them—is one of the central challenges in quantum materials research. […]

Reliably generating controlled miniature rotations has long been a challenge: Chemical propulsion systems wear out, and methods that use electric or magnetic fields require complex setups. A team from KIT’s Institute of Microstructure Technology (IMT) and the Suzhou Institute of Nano-tech and Nano-bionics (SINANO) at the Chinese Academy of Sciences has now demonstrated that flow […]

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, their extremely high computational cost has limited their application to small molecular systems. This study introduces a new computational method that overcomes this limitation.

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A research team led by UCLA and the University of Rochester has demonstrated a promising evolution of an imaging system designed to capture details within “complex media,” which scatter light, from depicting structures inside body tissue to seeing obstacles through heavy fog. The system uses physics-based machine learning to improve an existing imaging technique.

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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 between light and electrons. Designing these devices, however, remains a major challenge because existing simulation tools often require researchers to choose between modeling an entire device or […]