Predicting the behavior of many interacting quantum particles is a complicated process but is key to harness quantum computing for real-world applications. Researchers have developed a method for ...

Quantum physics has a reputation for needing exotic hardware, from liquid-helium-cooled qubits to sprawling AI clusters, just to crunch through basic simulations. Now a new “physics shortcut” is ...

Right now, quantum computers are small and error-prone compared to where they’ll likely be in a few years. Even within those limitations, however, there have been regular claims that the hardware can ...

For years, quantum computers have been framed as the ultimate problem solvers, machines that would eventually crack any task that classical hardware could not touch. Now a new line of research is ...

New landmark peer-reviewed paper published in Science, “Beyond-Classical Computation in Quantum Simulation,” unequivocally validates D-Wave’s achievement of the world’s first and only demonstration of ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

Quantum computing is rapidly emerging and, as it progresses forward, promises to cross fields of industry—from health sciences to finance and many other fields. Its advent is transforming the face of ...

This is an archived article and the information in the article may be outdated. Please look at the time stamp on the story to see when it was last updated. CHICAGO — Think of a corn maze as a problem.

Magnetic materials are used to make MRI machines, hard drives, wireless chargers, and phone speakers. It takes a lot of expensive research and development to create new materials. “And there’s no ...

The proposed algorithm combines variational scheduling with post-processing to achieve near-optimal solutions to combinatorial optimization problems with constraints within the operation time of ...