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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
Peter Sadowski1, David Fooshee1, Niranjan Subrahmanya2
1University of California, Irvine , Department of Computer Science, Irvine, California 92697, United States.
This study introduces a synergistic approach combining machine learning (ML) and quantum mechanical (QM) methods to accelerate the development of chemical reaction expert systems. The ML model prioritizes reaction pathways, enabling efficient QM analysis for improved chemical predictions.
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