"Machine Learning in Quantum Sciences", outcome of a collaborative effort from world-leading experts, offers both an introduction to machine learning and deep neural networks, and an overview of their ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Artificial intelligence (AI) has become integral to our daily lives, from virtual assistants like Siri to personalized recommendations on Netflix. As AI technology advances, quantum machine learning ...

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...

In order to build the computers and devices of tomorrow, we have to understand how they use energy today. That's harder than ...

Your phone finishes your sentences, your camera detects faces and your streaming app suggests songs you never thought you would want, thanks to classical AI systems. These are powerful logic engines: ...

SQC's Founder and CEO, Michelle Simmons, said: "Quantum Twins represents a window into the quantum world that customers can use for materials discovery today. The enabler is that we can engineer ...

For nearly a century, some of the simplest questions in quantum theory have stubbornly resisted clean answers, turning basic ...

Quantum mechanics has a way of sounding like pure philosophy until an experiment forces it into everyday language. In 2025, the Nobel committee honored researchers ...

Overview  Quantum computing skills now influence hiring decisions across technology, finance, research, and national security sectors.Employers prefer cand ...