Genetic algorithms, which mimic evolutionary processes to solve optimization problems, can be enhanced by using powerful semi-local search algorithms as mutation operators.
Jun 24, 2019
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Quantum-assisted algorithms are expected to improve the computing performance of classical computers. A quantum genetic algorithm utilizes the advantages of ...
Jul 24, 2023 · We present a genetic algorithm for state preparation (GASP) which generates relatively low-depth quantum circuits for initialising a quantum computer in a ...
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Quantum assisted Genetic Algorithm for Sequencing Compatible Amino ...
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In this article, we present the results of encoding quantum data to our quantum genetic algorithm, which predicts the best possible drug structure to bind onto ...
Reverse quantum annealing enables the development of genetic algorithms that use quantum fluctuation for mutations and classical mechanisms for the ...
Jul 19, 2022 · Based on the quantum-assisted genetic algorithm (QAGA) [11] and related approaches we introduce several modifications of QAGA to search for ...
Jun 1, 2024 · This paper introduces an innovative application of the quantum genetic algorithm to the fitting of experimental data from pump-probe ...
ABSTRACT. Article information: The local optima problem is one of the biggest obstacles in compact ge- netic algorithms since each bit in the problem ...
May 1, 2022 · I love the concept of QAGA - the quantum-assisted genetic algorithm. A standard evolutionary algorithm consists of a recombination phase, ...
Oct 25, 2022 · We propose a quantum-assisted compact genetic algorithm that uses a quantum amplitude amplification technique in the selection process to ...