Quantum computing stocks dropped 35% from their post-signing peak after Trump signed two June 22 executive orders — the same ...

New spintronic hardware harnesses tunable randomness to solve complex optimisation problems faster and with less energy than ...

Every morning, millions of Americans engage in a quiet, collective ritual. We wake up, often pull a smartphone from our ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

Quantifying structure complexity in filamentous matter, like proteins and polymers, via topological metrics, can be of prohibitive computational cost. A classical example is the Jones polynomial, ...

A lot has been made about a post-quantum computer future in which traditional encryption methods have suddenly been rendered obsolete. With this terrifying idea in mind, it’s reassuring to see some ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable graphics processing units (GPUs) directly led to the development of GPU ...

While the billion-dollar question is about when quantum computing will become commercially viable, one of the problems being tackled at the moment is how to make the ...

Researchers from quantum computing companies Quanscient Oy and Haiqu Inc. today announced that they have developed a new quantum computing algorithm designed to make computational fluid dynamics ...

One of the biggest promises of quantum computing is the ability to simulate molecules with unprecedented accuracy. If quantum computers could do this efficiently, this may speed up the discovery of ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.