Method and System for solving problems with multiple conflicting objectives
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United States of America
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Jan 9, 2025
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Jun 27, 2024
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Jun 27, 2024
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Abstract
A computer implemented method for obtaining a set of Pareto-optimal solutions to a given multi-objective optimization problem with different objectives. The method generates a set of parameters on a classical computation component using the classical optimization algorithm. Based on the set of parameters, a quantum component generates a quantum state by executing a parameterized quantum circuit. A set of basis states is selected from the one quantum state The classical computation component calculates a set of objective values consisting of the objective values for each solution in the set of classical solutions, and a new estimate for the Pareto set of solutions and the corresponding Pareto front by the classical optimizer is generated. The internal state of the classical optimization algorithm is updated based on the current set of solutions and the Pareto set and their corresponding sets of objective values.
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