AI focuses on learning patterns from data to make decisions; quantum computing focuses on raw computational power for complex problems like molecular simulation and code-breaking.

Convolutional Neural Network (CNN) has achieved great success in areas such as computer vision. In the meantime, the rapid evolution of quantum computing hardware gives the possibility to enhance ...

Welcome to another biweekly update on all things quantum computing. This edition features a new quantum network in ...

RIKEN scientists tap into AI to find a smarter method for fixing quantum errors, cutting resource demands for stable quantum machines. Theoretical physicists at RIKEN have made a key advance in ...

BEIJING, Oct. 1, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the ...

Studies of quantum computing and its overlap with photonics have gathered pace in recent years, with groups such as the Danish PhotoQ consortium investigating the development of photonic quantum ...

BEIJING, Oct. 13, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that ...

It's become increasingly clear that quantum computers won't have a single moment when they become clearly superior to classical hardware. Instead, we're likely to see them becoming useful for a narrow ...