Professor Xiao-Gang He and Dr. Chia-Wei Liu of Shanghai Jiao Tong University's Tsung-Dao Lee Institute (TDLI) used the ...

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

MARY K. GAILLARD, a pioneering theoretical physicist whose mathematical predictions helped shape the Standard Model of particle physics and who defied ...

Welcome to the digital edition of the July/August 2025 issue of CERN Courier.

Although top quarks are routinely produced in high-energy proton collisions at the LHC, they’re notoriously unstable and decay in less than a trillionth of a trillionth of a second, earning a ...

Enrique Rico Ortega and Sofia Vallecorsa explain how quantum computing will allow physicists to model complex dynamics, from ...

How this is done, what can be learned, why this is such an exciting activity, and how ORION is currently participating will ...

T-symmetry offers insights into the nature of time, revealing how fundamental physical laws remain invariant under time ...

An unforeseen feature in proton-proton collisions previously observed by the CMS experiment at CERN's Large Hadron Collider ...

Artist's impression of the short-lived union of a top quark and a top antiquark formed by the exchange of gluons. (Image: D.

In a breakthrough that could transform the understanding of quantum magnetism, scientists have shown that a spinon, which was ...