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arXiv 1803.02460quant-phcs.ITmath.IT
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门模型量子计算机中目标函数最大化的量子线路设计

Quantum Circuit Design for Objective Function Maximization in Gate-Model Quantum Computers

Laszlo Gyongyosi, Sandor Imre

摘要:

门模型量子计算机为近期量子计算提供了一种实验上可实现的体系结构。为了设计能够模拟高复杂度参考量子线路的简化量子线路,应当对输入量子态的数目、量子线路的幺正操作以及输出测量循环的数目进行优化。除了优化硬件层的物理布局外,量子计算机还应该非常有效地解决困难的计算问题。为了产生期望的输出系统,与馈入量子计算机的计算问题相关联的特定目标函数应该被最大化。减小的栅极结构应该能够产生目标函数的最大值。这些并行要求必须同时满足,这使得优化困难。在这里,我们展示了一种方法,用于设计门模型量子计算机的量子线路,并定义了量子三重退火最小化(QTAM)算法。QTAM的目标是在最大化任意计算问题的目标函数的前提下,为硬件层的量子线路确定一个最优的简化拓扑。

英文摘要:

Gate-model quantum computers provide an experimentally implementable architecture for near term quantum computations. To design a reduced quantum circuit that can simulate a high complexity reference quantum circuit, an optimization should be taken on the number of input quantum states, on the unitary operations of the quantum circuit, and on the number of output measurement rounds. Besides the optimization of the physical layout of the hardware layer, the quantum computer should also solve difficult computational problems very efficiently. To yield a desired output system, a particular objective function associated with the computational problem fed into the quantum computer should be maximized. The reduced gate structure should be able to produce the maximized value of the objective function. These parallel requirements must be satisfied simultaneously, which makes the optimization difficult. Here, we demonstrate a method for designing quantum circuits for gate-model quantum computers and define the Quantum Triple Annealing Minimization (QTAM) algorithm. The aim of QTAM is to determine an optimal reduced topology for the quantum circuits in the hardware layer at the maximization of the objective function of an arbitrary computational problem.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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