A Method of Mapping and Nearest-Neighbor for IBM QX Architecture

Chao Zhang, Z. Guan, Yang Qian, Shiguang Feng
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Abstract

In order to solve the problem of mapping a quantum circuit to IBM QX architecture and satisfy connectivity constraints. This paper presents a mapping method, which is divided into two parts: Qubit initial mapping and Nearest-neighbor optimization. To solve the problem of initial mapping of qubits, according to the execution order and interaction of quantum gates in quantum circuit, a qubit mapping order method based on the weight of qubits is proposed. Then, according to the qubit interaction degree in the coupling graph, the initial qubit mapping is completed. In order to solve the nearest-neighbor problem in the mapping process, the quantum cost of non-neighbor two-qubit gate is determined by introducing the lookahead quantum cost method. Our algorithm is evaluated on IBM Q 20. Experimental results show that the proposed algorithm can effectively complete the mapping task even in large-scale benchmark tests. The proposed method is verified by experiments and compared with the existing methods, the optimized results were obtained in 74% of the test circuits.
IBM QX体系结构的映射和最近邻方法
为了解决将量子电路映射到IBM QX体系结构并满足连通性约束的问题。本文提出了一种映射方法,该方法分为两个部分:量子位初始映射和最近邻优化。为了解决量子比特的初始映射问题,根据量子电路中量子门的执行顺序和相互作用,提出了一种基于量子比特权重的量子比特映射顺序方法。然后,根据耦合图中量子比特的相互作用程度,完成初始量子比特映射。为了解决映射过程中的最近邻问题,引入了前瞻量子代价方法,确定了非近邻双量子比特门的量子代价。我们的算法在IBM q20上进行了评估。实验结果表明,即使在大规模基准测试中,该算法也能有效地完成映射任务。通过实验验证了所提方法的有效性,并与现有方法进行了比较,74%的测试电路获得了优化结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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