Neural networks have transformed how machines find patterns in data, from recognizing faces in photos to predicting the ...

Quantum computing and AI are among the most rapidly developing modern technologies. AI, in the form of machine learning, has been deployed for decades to recommend movies and TV shows and make it ...

In recent years, research using artificial intelligence to predict material properties has advanced rapidly. Neural network ...

Quantum HPC co-location isn't necessary for most hybrid algorithms, a cross-lab study by AWS, NVIDIA, Lawrence Berkeley ...

Just as AI has its dreams of “AGI” and “superintelligence,” quantum computing has its own north star: broad, practical quantum advantage over traditional supercomputers. The quantum industry’s goal is ...

A programming language for hybrid AI and quantum computing. Compile-time tensor shape checking, linear quantum types enforcing the No-Cloning Theorem, and native autodiff across classical-quantum ...

In a laboratory in Broomfield, Colorado, 98 atoms are suspended in mid-air, held in place by electric fields and cooled to temperatures close to absolute zero. Each atom is far smaller than anything ...

To this day, we have yet to see a quantum computer conclusively perform a single useful task. Existing machines are simply too small and error-ridden to solve commercially relevant problems. That hasn ...

The US government wants to get hold of a quantum computer good enough to contribute to scientific breakthroughs in just two years. It will use it to try to accelerate the research and development of ...

Quantum computing is advancing fast, and nations are racing to field the first machines powerful enough to break modern encryption. This race has direct consequences for the commercial space industry, ...