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 ...

As quantum computing develops, scientists are working to identify tasks for which quantum computers have a clear advantage over classical computers. So far, researchers have only pinpointed a handful ...

Simulations of quantum many-body systems are an important goal for nuclear and high-energy physics. Many-body problems involve systems that consist of many microscopic particles interacting at the ...

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 ...

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 ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do it for some critical optimization tasks. For ...

Radiofrequency tuning elements made of quantum paraelectric materials are demonstrated at temperatures close to absolute zero — a temperature regime in which conventional electronic tuning components ...

Tuning electron interactions in iron telluride selenide controls superconducting and topological phases, offering a pathway to more stable quantum computing. (Nanowerk News) Researchers at West ...

Quantum-inspired optimisation algorithms represent a class of metaheuristic techniques that draw inspiration from quantum mechanics to tackle combinatorial optimisation problems on classical hardware.

Quantum computers located in a data center. Photo: Sven Hoppe/dpa (Photo by Sven Hoppe/picture alliance via Getty Images) To understand what quantum computers actually threaten, you first need to know ...