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 ...
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New quantum algorithm could unlock faster AI and scientific computing
Researchers from the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory, Northeastern University, Google ...
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 ...
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 ...
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 ...
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 ...
IQM Quantum Computers (Nasdaq: IQMX) ("IQM", "IQM Quantum Computers" or the "Company"), a global leader in full-stack superconducting quantum computers, has acquired selected assets of Quantistry GmbH ...
Quantum-inspired algorithms can simulate turbulent fluid flows on a classical computer much faster than existing tools, slashing computation times from several days on a large supercomputer to just ...
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D-Wave said classical computers could not match its quantum chip. A laptop just did.
D-Wave quantum supremacy challenged: Flatiron Institute physicists showed that a classical algorithm using 3D tensor networks ...
Robert Loredo has been named executive director of the Florida Atlantic University Center for Quantum Technologies. In this role, L ...
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