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Published on: October 1, 2013
An Improved GAS Algorithm
Zhijian Wang1, Yuchen He2, Tian Luan1,2
1Department of Computer Technology, Institute of Advanced Technology, University of Science and Technology of China, No. 96 Jinzhai Road, Hefei 230088, China.
Abstract:
This paper introduces an improved Grover Adaptive Search (GAS) algorithm. The GAS algorithm has been prove to achieve quadratic acceleration in the Constrained Polynomial Binary Optimization (CPBO) problem. Nevertheless, the acceleration effect of the GAS algorithm can be decreased by the poor threshold selection. This article uses the Quantum Approximate Optimization Algorithm (QAOA) to improve the initial threshold selection, thereby accelerating the convergence speed of the original GAS algorithm. The acceleration effect of the improved GAS algorithm is presented by the Max-Cut problem and the CPBO problem.
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