Machine learning in modeling, analysis and control of electrochemical reactors: A tutorial review
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Wang, Wenlong↗
Engineering topics
Publications and source records attributed to Wang, Wenlong.
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In this paper, we propose a patch planting method for creating arbitrarily large spin glass instances with known ground states. The scaling of the computational complexity of these instances with various block numbers and sizes is investigated and compared with random instances using population annealing Monte Carlo and the quantum annealing DW2X machine. The method can be useful for benchmarking tests for future generation quantum annealing machines, classical and quantum mechanical optimization algorithms.