Evaluating the resilience of variational quantum algorithms to leakage noise
Evaluating the resilience of variational quantum algorithms to leakage noise
复制标题
评估变分量子算法对泄漏噪声的恢复能力
DOI：
10.1103/physreva.106.042421
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发表时间：
2022-08
影响因子：
2.9
通讯作者：
Wan-Su Bao
中科院分区：
文献类型：
--
作者：
Chen Ding;Xiao-Yue Xu;Shuo Zhang;He-Liang Huang;Wan-Su Bao
当我们进入构建实用量子计算机的时代时，抑制不可避免的噪声以完成可靠的计算任务将是主要目标。泄漏噪声，因为振幅种群在量子空间之外泄漏，是
As we are entering the era of constructing practical quantum computers, suppressing the inevitable noise to accomplish reliable computational tasks will be the primary goal. Leakage noise, as the amplitude population leaking outside the qubit subspace, is a particularly damaging source of error that error correction approaches cannot handle. However, the impact of this noise on the performance of variational quantum algorithms (VQAs), a type of near-term quantum algorithms that is naturally resistant to a variety of noises, is yet unknown. Here, {we consider a typical scenario with the widely used hardware-efficient ansatz and the emergence of leakage in two-qubit gates}, observing that leakage noise generally reduces the expressive power of VQAs. Furthermore, we benchmark the influence of leakage noise on VQAs in real-world learning tasks. Results show that, both for data fitting and data classification, leakage noise generally has a negative impact on the training process and final outcomes. Our findings give strong evidence that VQAs are vulnerable to leakage noise in most cases, implying that leakage noise must be effectively suppressed in order to achieve practical quantum computing applications, whether for near-term quantum algorithms and long-term error-correcting quantum computing.
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光子量子处理器上的变分特征值求解器。
影响因子：
16.6
作者：
Peruzzo, Alberto;McClean, Jarrod;Shadbolt, Peter;Yung, Man-Hong;Zhou, Xiao-Qi;Love, Peter J.;Aspuru-Guzik, Alan;O'Brien, Jeremy L.
通讯作者：
O'Brien, Jeremy L.
DOI：
10.1080/00963402.1989.11459656
发表时间：
1886-01
期刊：
The Southern Medical Record
影响因子：
--
作者：
通讯作者：
--
DOI：
10.1136/bmj.323.7325.1375/a
发表时间：
2001-12
期刊：
BMJ : British Medical Journal
影响因子：
--
作者：
K. Barraclough
通讯作者：
K. Barraclough
影响因子：
7.6
作者：
Christa Zoufal;Aurélien Lucchi;Stefan Woerner
通讯作者：
Christa Zoufal;Aurélien Lucchi;Stefan Woerner
影响因子：
64.8
作者：
Google Quantum AI
通讯作者：
Google Quantum AI