QuCloud+: A Holistic Qubit Mapping Scheme for Single/Multi-programming on 2D/3D NISQ Quantum Computers

IF 1.5 3区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE ACM Transactions on Architecture and Code Optimization Pub Date : 2023-11-07 DOI:10.1145/3631525
Lei Liu, Xinglei Dou
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引用次数: 1

Abstract

Qubit mapping for NISQ superconducting quantum computers is essential to fidelity and resource utilization. The existing qubit mapping schemes meet challenges, e.g., crosstalk, SWAP overheads, diverse device topologies, etc., leading to qubit resource underutilization and low fidelity in computing results. This paper introduces QuCloud+, a new qubit mapping scheme that tackles these challenges. QuCloud+ has several new designs. (1) QuCloud+ supports single/multi-programming quantum computing on quantum chips with 2D/3D topology. (2) QuCloud+ partitions physical qubits for concurrent quantum programs with the crosstalk-aware community detection technique and further allocates qubits according to qubit degree, improving fidelity and resource utilization. (3) QuCloud+ includes an X-SWAP mechanism that avoids SWAPs with high crosstalk errors and enables inter-program SWAPs to reduce the SWAP overheads. (4) QuCloud+ schedules concurrent quantum programs to be mapped and executed based on estimated fidelity for the best practice. Experimental results show that, compared with the existing typical multi-programming study [12], QuCloud+ achieves up to 9.03% higher fidelity and saves on the required SWAPs during mapping, reducing the number of CNOT gates inserted by 40.92%. Compared with a recent study [30] that enables post-mapping gate optimizations to further reduce gates, QuCloud+ reduces the post-mapping circuit depth by 21.91% while using a similar number of gates.
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QuCloud+:用于2D/3D NISQ量子计算机单/多编程的整体量子比特映射方案
NISQ超导量子计算机的量子比特映射对保真度和资源利用率至关重要。现有的量子位映射方案面临串扰、SWAP开销、器件拓扑多样化等挑战,导致量子位资源利用不足,计算结果保真度低。本文介绍了一种新的量子比特映射方案quucloud +来解决这些挑战。quucloud +有几个新设计。(1) QuCloud+支持在二维/三维拓扑的量子芯片上进行单/多编程量子计算。(2) QuCloud+利用串扰感知社区检测技术为并发量子程序划分物理量子位,并根据量子位度进一步分配量子位,提高了保真度和资源利用率。(3) QuCloud+包含X-SWAP机制,避免了高串扰错误的SWAP,并允许程序间SWAP,减少SWAP开销。(4) quucloud +根据最佳实践的估计保真度调度并行量子程序进行映射和执行。实验结果表明,与现有的典型多编程研究[12]相比,QuCloud+的保真度提高了9.03%,并且在映射过程中节省了所需的swap,减少了插入CNOT门的数量40.92%。与最近的一项研究[30]相比,QuCloud+在使用相同门数的情况下,将映射后电路深度降低了21.91%。
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来源期刊
ACM Transactions on Architecture and Code Optimization
ACM Transactions on Architecture and Code Optimization 工程技术-计算机:理论方法
CiteScore
3.60
自引率
6.20%
发文量
78
审稿时长
6-12 weeks
期刊介绍: ACM Transactions on Architecture and Code Optimization (TACO) focuses on hardware, software, and system research spanning the fields of computer architecture and code optimization. Articles that appear in TACO will either present new techniques and concepts or report on experiences and experiments with actual systems. Insights useful to architects, hardware or software developers, designers, builders, and users will be emphasized.
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