CUDA-Q Enabled Resource Reduction for Quantum Clustering Algorithms – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-03T22:20:47Z http://www.open-lab.net/blog/feed/ Mark Wolf <![CDATA[CUDA-Q Enabled Resource Reduction for Quantum Clustering Algorithms]]> http://www.open-lab.net/blog/?p=87484 2024-09-05T17:57:25Z 2024-08-26T16:00:00Z Quantum computers can use the quantum properties of superposition, entanglement, and interference to generalize learnings and insights from data. Such quantum...]]> Quantum computers can use the quantum properties of superposition, entanglement, and interference to generalize learnings and insights from data. Such quantum...10 coreset representation of a 1K dataset with coresets as smaller and larger stars according to weight.

Quantum computers can use the quantum properties of superposition, entanglement, and interference to generalize learnings and insights from data. Such quantum machine learning (QML) techniques will eventually run on quantum-accelerated supercomputers that combine the processing powers of CPUs, GPUs, and QPUs to solve some of the world��s most complex problems. Many QML algorithms offer��

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