Understanding the chemical properties of a molecule is an inherently quantum problem, making quantum computers a good tool ...
Quantum computers are shifting from lab curiosities into real machines that can already outperform classical systems on ...
Ripples spreading across a calm lake after raindrops fall—and the way ripples from different drops overlap and travel outward ...
What if the most complex problems plaguing industries today—curing diseases, optimizing global supply chains, or even securing digital communication—could be solved in a fraction of the time it takes ...
Every online bank transfer, private message and Bitcoin transaction rests on the assumption that some math problems are ...
Quantum computers, systems that process information leveraging quantum mechanical effects, could soon outperform classical computers on some complex computational problems. These computers rely on ...
You might think that creating a highly accurate model of the way air passes through a jet engine would be relatively easy. It is incredibly hard. The enormous number of variables means that it is, in ...
The agency is celebrating 2025 being designated as the International Year of Quantum Science and Technology with an educational campaign. Quantum science, and especially its most popular offshoot, ...
For decades, quantum computing has been heralded as a technology of the future, promising to solve problems far beyond the reach of supercomputers. But its practical use has remained elusive. That’s ...
Quantum computers represent a breakthrough comparable to the move from valves to transistors in computer engineering. It doesn't just mean processing data faster; it means processing data in ways that ...
On May 7, 1981, influential physicist Richard Feynman gave a keynote speech at Caltech. Feynman opened his talk by politely rejecting the very notion of a keynote speech, instead saying that he had ...
While farmers have cultivated crops for millennia using intuition and experience, today's agriculture increasingly relies on data-driven approaches to maximize yields while minimizing environmental ...