Long confined to theoretical labs and sci-fi thrillers, quantum computing is fast emerging as a real-world technology with ...

Paul Lipman is Chief Strategy Officer at Infleqtion, leading growth and productization efforts at the cutting edge of quantum technology. As a teenager, I was offered sage guidance by a family friend ...

Researchers at the University of Tokyo have identified a precise sweet spot where quantum reservoir computing, a machine learning approach that treats quantum systems as computational engines, reaches ...

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 ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...

Ramin Ayanzadeh joined CU Boulder’s Department of Computer Science as an assistant professor in the fall of 2024. His research focuses on trustworthy quantum computing to enhance the reliability and ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

There are currently about 80 companies across the world manufacturing quantum computing hardware. Because I report on quantum computing, I have had a chance to watch it grow as an industry from up ...