A new study in Physical Review B reveals that popular quantum algorithms like VQE and QPE face massive scaling issues.

Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...

Although the potential applications of quantum computing are widespread, a new feasibility study suggests quantum computers ...

Louisiana Tech University senior Jesse Webb will represent the United States this April at the NYU Abu Dhabi International ...

“Unfortunately, we were a little bit ahead of our time,” Sumit Kapur tells The Next Platform, saying that in the later years of the last decade, quantum systems hadn’t advanced much and it was unclear ...

Two popular quantum computing algorithms for problems in chemistry may have very limited use even as quantum hardware ...

A team of physicists has uncovered a hidden topological structure within one of the most widely used sources of quantum entanglement.

Abstract: Shor's algorithm is one of the most prominent quantum algorithms, yet finding efficient implementations remains an active research challenge. While many approaches focus on low-level modular ...