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Integrated Qubit Reuse and Circuit Cutting for Large Quantum Circuit Evaluation

Authors :
Pawar, Aditya
Li, Yingheng
Mo, Zewei
Guo, Yanan
Zhang, Youtao
Tang, Xulong
Yang, Jun
Publication Year :
2023

Abstract

Quantum computing has recently emerged as a promising computing paradigm for many application domains. However, the size of quantum circuits that can run with high fidelity is constrained by the limited quantity and quality of physical qubits. Recently proposed schemes, such as wire cutting and qubit reuse, mitigate the problem but produce sub-optimal results as they address the problem individually. In addition, gate cutting, an alternative circuit-cutting strategy, has not been fully explored in the field. In this paper, we propose IQRC, an integrated approach that exploits qubit reuse and circuit cutting (including wire cutting and gate cutting) to run large circuits on small quantum computers. Circuit-cutting techniques introduce non-negligible post-processing overhead, which increases exponentially with the number of cuts. IQRC exploits qubit reuse to find better cutting solutions to minimize the cut numbers and thus the post-processing overhead. Our evaluation results show that on average we reduce the number of cuts by 34\% and additional reduction when considering gate cuts.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2312.10298
Document Type :
Working Paper