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New computational imaging method cuts X-ray dose while preserving high resolution

Researchers have shown that it’s possible to take clear, high-resolution X-ray images using very little radiation. With more development, the new approach could eventually make medical X-ray diagnostics less risky and more accessible.

“While traditional X-ray imaging relies on enough X-ray photons reaching a detector to form a clear image, our approach uses computational techniques to reconstruct an image from fewer photons,” said research team leader Tiqiao Xiao from the Shanghai Advanced Research Institute, Chinese Academy of Sciences. “We were able to show the low-dose potential of this approach by achieving megapixel radiology with ultra-low-light.”

In Optica, the researchers demonstrate X-ray ghost images with nearly 2-megapixel resolution using only 0.48% of the X-ray photons typically required for X-ray imaging. The proof-of-concept study suggests that comparable X-ray image quality may eventually be achievable with far lower radiation doses than are used today.

Braided, exotic particles could build reliable, universal quantum computers

A truly useful quantum computer must be able to run any algorithm, with the same versatility an ordinary laptop offers. Physicists have now shown a new way to give a quantum computer exactly that flexibility, harnessing the capabilities of exotic quantum particles called non-Abelian anyons.

A team of scientists from the University of Chicago Pritzker School of Molecular Engineering (UChicago PME), Harvard, Stony Brook University and Quantinuum built and tested a complete toolkit of operations using non-Abelian anyons, proving for the first time the broad utility of this approach.

“We demonstrated a so-called universal gate set—meaning that if you store information in these emergent versions of quarks, and you move them around, you can do any quantum computation you might want to do,” said Ruben Verresen, assistant professor of molecular engineering at UChicago PME and a co-author of the new study published in Nature.

How ions flow like a liquid through a solid crystal

A research team led by the University of Osaka, working with the National Institute of Advanced Industrial Science and Technology (AIST), RIKEN and the Institute of Science Tokyo, has uncovered a fundamental mechanism behind superionic conduction, in which ions move rapidly through a solid while its crystalline framework remains intact.

Using a simple physical model, the researchers connected “sublattice melting” with cooperative and spatially heterogeneous ion transport. The findings offer a unified explanation for superionic conduction and could help guide the design of next-generation solid-state batteries.

The findings are published in the journal Proceedings of the National Academy of Sciences.

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