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 ...

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 ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform classical systems on certain tasks. Over the past few decades, researchers ...

For a child diagnosed with neuroblastoma—the most common infant cancer, occurring when early nerve cells grow out of control—the path to treatment isn't simple. Some types of neuroblastoma resolve on ...

Quantum AI workloads will benefit from the integration of quantum computers in data centers and high-performance computing ...

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 ...

The U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) has finalized a set of encryption algorithms designed to withstand cyberattacks from quantum computers. These ...

Quantum computers have the ability to perform complex calculations at unprecedented speeds. Thus, they will transform areas such as data encryption, network optimization, and artificial intelligence ...