QuTracer: Mitigating Quantum Gate and Measurement Errors by Tracing Subsets of Qubits

被引:0
|
作者
Li, Peiyi [1 ]
Liu, Ji [2 ]
Gonzales, Alvin [2 ]
Saleem, Zain Hamid [2 ]
Zhou, Huiyang [1 ]
Hovland, Paul [2 ]
机构
[1] North Carolina State Univ, Raleigh, NC 27695 USA
[2] Argonne Natl Lab, Lemont, IL USA
来源
2024 ACM/IEEE 51ST ANNUAL INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE, ISCA 2024 | 2024年
关键词
COMPUTATION; ALGORITHMS;
D O I
10.1109/ISCA59077.2024.00018
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Quantum error mitigation plays a crucial role in the current noisy-intermediate-scale-quantum (NISQ) era. As we advance towards achieving a practical quantum advantage in the near term, error mitigation emerges as an indispensable component. One notable prior work, Jigsaw, demonstrates that measurement crosstalk errors can be effectively mitigated by measuring subsets of qubits. Jigsaw operates by running multiple copies of the original circuit, each time measuring only a subset of qubits. The localized distributions yielded from measurement subsetting suffer from less crosstalk and are then used to update the global distribution, thereby achieving improved output fidelity. Inspired by the idea of measurement subsetting, we propose QuTracer, a framework designed to mitigate both gate and measurement errors in subsets of qubits by tracing the states of qubit subsets throughout the computational process. In order to achieve this goal, we introduce a technique, qubit subsetting Pauli checks (QSPC), which utilizes circuit cutting and Pauli Check Sandwiching (PCS) to trace the qubit subsets distribution to mitigate errors. The QuTracer framework can be applied to various algorithms including, but not limited to, VQE, QAOA, quantum arithmetic circuits, QPE, and Hamiltonian simulations. In our experiments, we perform both noisy simulations and real device experiments to demonstrate that QuTracer is scalable and significantly outperforms the state-of-the-art approaches.
引用
收藏
页码:103 / 117
页数:15
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