Using 'cat states' to realize fault-tolerant quantum computers

Error correction in quantum computers could be simplified by a new protocol proposed by an all-RIKEN team based on "cat states." It could cut the computing resources needed to fix errors to the same level as conventional ...

AI-based model that predicts extreme wildfire danger

Raging wildfires occurring worldwide have caused tremendous economic damage and loss of life. Knowing when and where a widespread fire could happen in advance can improve fire prevention and resource allocation. However, ...

Machine learning takes hold in nuclear physics

Scientists have begun turning to new tools offered by machine learning to help save time and money. In the past several years, nuclear physics has seen a flurry of machine learning projects come online, with many papers published ...

Better understanding of cellular metabolism with the help of AI

Metabolism is essential to all living organisms, and modeling the chemical reactions that sustain life is no easy task. Now, EPFL scientists have released REKINDLE, a deep-learning process that is paving the way for more ...

How simulations could help get PFAS out of soil

Michigan State University chemists are discovering new information to help remediate "forever chemicals" by showing for the first time how they interact with soil at the molecular level.

Can defects turn inert materials into useful, active ones?

Demonstrating that a material thought to be always chemically inert, hexagonal boron nitride (hBN), can be turned chemically active holds potential for a new class of catalysts with a wide range of applications, according ...

High resolution image of Arabidopsis photosynthesis machine

For the first time, Umeå researchers have, with the help of cryogenic electron microscopy, succeeded in producing a high-resolution image of photosystem II—the central complex of photosynthesis—of the model plant Arabidopsis. ...

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