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SOLVING MIXED INTEGER OPTIMIZATION PROBLEMS ON A HYBRID CLASSICAL-QUANTUM COMPUTING SYSTEM
SOLVING MIXED INTEGER OPTIMIZATION PROBLEMS ON A HYBRID CLASSICAL-QUANTUM COMPUTING SYSTEM
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机译：混合古典-量子计算系统的混合整数优化问题的求解
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摘要
Solving mixed integer problems using a hybrid classical-quantum computing system includes generating a plurality of decision variables for a function associated with a combinatorial optimization problem by a first processor using an optimizer, and deriving at least one quantum state parameter for a quantum processor based upon one or more of the decision variables. The quantum processor is initiated in a quantum state based upon the at least one quantum state parameter. A plurality of intermediate quantum states of the quantum processor are measured using a plurality of quantum measurements of the quantum state to obtain a plurality of samples. The plurality of samples are evaluated by the first processor to obtain a measure of a quality of the quantum state and of one or more solutions to the combinatorial optimization problem.
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