US EditionPNNL Researchers Develop Algorithm For Quantum Computing With 85% Reduction In Computational Load
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PNNL Researchers Develop Algorithm For Quantum Computing With 85% Reduction In Computational Load
Researchers at Pacific Northwest National Laboratory developed an algorithm called Picasso, which uses graph coloring and clique partitioning techniques to drastically reduce computational loads for large hydrogen model systems in quantum computing, enabling efficient processing of up to 2 million Pauli strings with a trillion relationships in just 15 minutes.
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