The reliable engineering of quantum states, particularly those involving several particles, is central to the development of various quantum technologies, including quantum computers, sensors and ...

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 ...

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 ...

Researchers from Google Quantum AI report that their quantum processor, Willow, ran an algorithm for a quantum computer that solved a complex physics problem thousands of times faster than the world's ...

A search problem refers to the task of finding a solution within some space of possible options, and that space could be made up of discrete steps or continuously varying values. For example, solving ...

Quantum computing is no longer a distant research project—it’s steadily moving toward real-world capability. While large-scale, fault-tolerant quantum computers aren’t ...

The National Institute of Standards and Technology is taking another large step in its ongoing mission to steer organizations toward post-quantum cyber readiness, announcing the beginning of agency ...

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...

Google announced on the 22nd, local time, that it has implemented an algorithm, a set of rules for solving problems, that can objectively verify the performance of a quantum computer for the first ...