Quantum computing education is advancing rapidly, with books now catering to beginners, developers, researchers, and business leaders. This curated selection highlights essential titles that explain ...

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...

Will computers ever match or surpass human-level intelligence — and, if so, how? When the Association for the Advancement of Artificial Intelligence (AAAI), based in Washington DC, asked its members ...

Classiq Technologies Ltd., a maker of quantum software development tools, today announced that it has raised “tens of millions of dollars” in new funding. The capital was provided as an extension to a ...

Integrated quantum computing company Quantinuum Ltd. today unveiled new open-source software tools designed to accelerate software development for quantum computing with a more intuitive programming ...

Image classification is an important task in various machine learning applications. In recent years, a number of classification methods based on quantum machine learning and different quantum image ...

The dawn of quantum is upon us, and it’s not the dawn we’ve grown accustomed to. We stand on the brink of a new computational era that promises to dwarf the advancements of classical computing in ways ...

A distinguishing feature of the neural network models used in Physics and Chemistry is that they must obey basic underlying symmetries, such as symmetry to translations, rotations, and the exchange of ...