Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

Electron movement and structures described in quantum physics allow researchers to better understand how and why materials like superconductors behave as they do. Rice University researchers Jianwei ...

Superconductors are among the most puzzling materials in physics. They conduct electricity with zero resistance, but only under specific conditions that researchers have struggled for decades to ...

Austrian physicist Erwin Schrödinger developed quantum theory’s wave equation, which describes quantum systems as waves that ...

The errors that quantum computers make are holding the technology back. But recent progress in quantum error correction has ...

Unisys (NYSE: UIS) will present its research on commercial applications of quantum computing at the upcoming American Physical Society's (APS) Global Physics Summit. This leading international forum ...

Today, Qblox, a leading provider of open-architecture quantum control electronics, and Riverlane, the quantum error ...

Louisiana Tech University senior Jesse Webb will represent the United States this April at the NYU Abu Dhabi International Hackathon for Social Good, one of the world’s premier student quantum ...

Against this backdrop, a new large-scale research work devoted to the analysis of the fundamental structure of modern physics has been published. Researcher Sergey G. Kolesnyak has presented a ...

Qolab today announced the launch of the John Martinis Prize for Experimental Superconducting Qubit Physics, a new initiative designed to support the next generation of researchers advancing ...

For more than 40 years, scientists have known that the quantum Hall effect impacts electrons in strong magnetic fields, but it turns out light also follows the fundamental phenomenon.