Evolutionary Approach to Quantum andReversible Circuits Synthesis
Artificial Intelligence Review
Evolutionary approach to quantum and reversible circuits synthesis
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A review of procedures to evolve quantum algorithms
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Genetic algorithm based quantum circuit synthesis with adaptive parameters control
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
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Quantum Information Processing
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Abstract: In this paper we focus on a general approach of using genetic algorithm (GA) toevolve Quantum circuits (QC). We propose a generic GA to evolve arbitrary quantum circuit specified by a (target) unitary matrix as well as a specific encoding that reduces the time of calculating the resultant unitary matrices of chromosomes. We demonstrate that, in contrast to previous approaches, our encoding allows synthesis of small quantum circuits of arbitrary type, using standard genetic operators.