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 ...

XeedQ launched XQ1, the first multi-qubit mobile quantum processor operating at room temperature. The XQ1 processor is energy-efficient, consuming only 700 watts, making quantum technology more ...

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 ...

One of the coolest things about being a software developer is that you often know what’s behind the curtain. To some extent, at least. Working in tech gives you the chance to know first-hand what a ...

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 ...