The errors that quantum computers make are holding the technology back. But recent progress in quantum error correction has ...

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

The company sees ways to integrate quantum processors with CPUs and GPUs in modern supercomputers — years before large-scale quantum computers have their moment ...

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...

Thanks to the alternating single-double nature of the bonds, electrons in these orbitals end up delocalized; the differences between the bonds become a bit irrelevant, and the molecule is best viewed ...

Abstract: Deep neural networks (DNNs) have been widely used for learning various wireless communication policies. While DNNs have demonstrated the ability to reduce the time complexity of inference, ...

Worried that your latest ask to a cloud-based AI reveals a bit too much about you? Want to know your genetic risk of disease without revealing it to the services that compute the answer? There is a ...

The team's automated reasoning research aims to build algorithms that allow computers to perform logical reasoning. The output of these algorithms is traditionally binary: satisfiable or unsatisfiable ...

Abstract: The increasing popularity of unsupervised machine learning techniques, particularly in clustering algorithms, is evident due to their ability to efficiently generate clusters from large ...