Originally published at: https://developer.nvidia.com/blog/cuda-q-enabled-resource-reduction-for-quantum-clustering-algorithms/
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 theoretical…