A new study by an international team of scientists has outlined the potential for a new class of robots that can match the capabilities of humans. These advances are driven by the convergence of ...

The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...

Rainbow, an autonomous multi-robot lab, accelerates quantum dot discovery with AI, enabling up to 1,000 daily experiments for next-gen technologies. (Nanowerk News) Researchers at North Carolina State ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...

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 ...

Quantum AI has the potential to transform modern computing. AI-powered robots could revolutionize the labor industry across multiple end markets. Nvidia and Tesla are ushering in a new wave of ...

Quantum computing may still be regarded by many IT leaders as a very niche technology, but broader business use cases may be just a few years away. While only a handful of companies have machines with ...