This study reveals a novel method for screening materials for fusion reactors, aiming to enhance performance under extreme conditions.

Quantum machine learning methods, including QSVM and QCNN, show promise in manufacturing by enhancing anomaly detection and reducing parameter requirements.

Argonne is among a group of institutions chosen by the Simons Foundation and the US National Science Foundationto receive ...

JWST, a groundbreaking space observatory, enhances our understanding of the cosmos by studying distant galaxies, star ...

Astronomers have used NASA’s Hubble and James Webb space telescopes to capture unprecedented details of the extensive debris ...

Quantum Motion, a UK-based quantum computing scale-up founded by Professor John Morton, University College London (UCL), and ...

In a paper published in the journal Pharmaceuticals, researchers developed metformin carbon quantum dots (MetCQDs) to improve ...

In a study published in Physical Review Letters, researchers at the Center for Computational Quantum Physics (CCQ) at the ...

Classical Convolutional Neural Network (QCCNN) for breast cancer diagnosis, combining quantum computing with classical CNN ...

Researchers found that unmelted primitive asteroids contributed significantly to Earth's volatile elements, including zinc.

A University of Michigan-led study has analyzed over 20 years of data from NASA's Chandra X-Ray Observatory, uncovering new ...

Researchers examine the toxicity potential of graphene quantum dots (GQDs) on the human intestinal fatty acid binding protein ...