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Quantum Gates Transform Optimization Algorithm for Quantum Computer Modeling

机译:量子门变换量子计算机建模优化算法

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Today quantum computer modeling thematic attracts many scientists as it is difficult to examine theoretically synthesized quantum algorithms. The main problem is whether a newly created algorithm would have an efficient implementation on the quantum computer or not. Mathematical core of quantum computations is quite discovered and allows quantum computer workflow simulation using classical computers. However simulating the workflow without optimizations causes performance decrease even for modeling of small quantum systems consisted of less than ten qubits. One of the methods for molding performance improvement is using quantum gates transform optimization algorithm. The algorithm uses heuristic optimizations to achieve better performance result. In this work flowcharts of optimization algorithm presented describing single qubit quantum gate transform and controlled gate transform. The results comparison of the classical mathematical approach for quantum computer simulation and using optimization algorithm shows that there is a significant performance improvement using quantum gates transform optimization algorithm.
机译:如今,量子计算机建模专题吸引了许多科学家,因为难以检查理论上合成的量子算法。主要问题是新创建的算法是否在量子计算机上有效实现。可以发现量子计算的数学核心,并允许使用经典计算机的量子计算机工作流模拟。然而,在没有优化的情况下模拟工作流程,即使对于小于10个Qubits的小量子系统的建模,均匀的性能降低。模塑性能改进的方法之一是使用量子门变换优化算法。该算法使用启发式优化来实现更好的性能结果。在本工作流程图中,呈现了描述单个Qubit量子栅极变换和受控栅极变换的优化算法。量子计算机仿真经典数学方法的结果比较和使用优化算法表明,使用量子门变换优化算法存在显着的性能改进。

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