Research On Application Of Quantum Differential Evolutionary Algorithm In Oilfield Development

Quantum computation is a novel inter-discipline that includes quantum mechanics and information science. As the representative of quantum computation, the quantum algorithm is endowed with the great superiority and the strong vitality, and it has become the cutting-edge research field of many international scholars because of a high degree of parallelism, the index level of storage capacity, and the role of speeding up the classic heuristic algorithm. In this paper, the algorithms design is studied from two aspects of quantum computation and differential evolution, and these algorithms are pushed to the actual applications.To enhance the optimization performance of differential evolution algorithm, by studying the implementation mechanism of differential evolution algorithm, a new idea of incorporating differential strategy and rotation of qubits in the Bloch sphere is proposed. In the proposed approach, the individuals are encoded by qubits described on Bloch sphere, and the rotation angles of qubits in current individual are obtained by differential strategy. The axis of rotation is designed by using vector product theory, and the rotation matrixes are constructed by using Pauli matrixes. Taking the corresponding qubits in current best individual as targets, the qubits in current individual are rotated to the target qubits about the rotation axis on the Bloch sphere. The Hadamard gates are used to mutate individuals. The simulation results of the optimization of the function extreme value indicate that, the proposed approach is obviously superior to the classical differential evolution algorithm.The algorithm mentioned above is applied to such actual engineering problems as development indexes prediction, water flooded layer identification, and action plan optimization and the satisfactory results are obtained.