Nvidia, Quantum computing
Digest more
Nvidia CEO Jensen Huang says that traditional computer processors will be needed to maximize the use of quantum technology.
Combining a quantum-inspired algorithm and quantum information processing technologies could enable researchers to measure masses of cosmic objects that bend light almost imperceptibly
President Donald Trump’s administration is slated to sign a deal with South Korea aimed at bolstering cooperation in artificial intelligence, quantum computing and 6G, according to a US official — part of a bid to maintain a competitive edge with China in an expanding race for tech supremacy.
Could global positioning systems become more precise and provide more accurate details on distances for users to get from point A to point B?
Evidence of this quantum layer may be coming soon. Here’s what you’ll learn in this story: Physicists are still puzzling over the true nature of dark matter and dark energy, because they have inexplicably added 10 times as much mass as normal matter has to the universe.
At its GTC DC event, the company announced major initiatives spanning quantum computing, 6G networks and “AI factories” built with the United States Department of Energy and Oracle Corp. — all framed as part of what executives described as America’s next industrial and scientific renaissance.
Wave, and Rigetti have delivered mind-boggling returns as "Q-Day" encryption threats drive government urgency and billion-dollar funding into quantum computing infrastructure.
IBM is gaining traction in the quantum computing segment and is positioned to benefit from a first-mover advantage following its partnership with AMD.
In this week’s edition of The Prototype, we look at the man trying to build the next Tesla, a retinal implant that restores eyesight and more.
The US and South Korea are set to strike a deal to cooperate on AI and quantum computing, even as contentious trade issues linger.
Quantum Circuits, Inc., announced its latest integration with NVIDIA's hybrid quantum-classical platform, NVIDIA CUDA-Q, enabling users of its innovative Aqumen Seeker quantum processing unit (QPU) to run the next generation of quantum applications that harness machine learning and AI techniques for high-performance use cases.