Navigating the Dynamic Noise Landscape of Variational Quantum Algorithms with QISMET
Navigating the Dynamic Noise Landscape of Variational Quantum Algorithms with QISMET
复制标题
使用 QISMET 驾驭变分量子算法的动态噪声环境
DOI：
10.1145/3575693.3575739
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Chong, Frederic T.
中科院分区：
文献类型：
--
作者：
Ravi, Gokul Subramanian;Smith, Kaitlin;Baker, Jonathan M.;Kannan, Tejas;Earnest, Nathan;Javadi-Abhari, Ali;Hoffmann, Henry;Chong, Frederic T.
在噪声中间尺度量子（NISQ）时代，量子系统的动态性质导致噪声源随时间不断变化。动态NISQ噪声环境中的瞬态误差很难理解，并且对迭代和/或长时间运行的应用类别特别有害，因此它们的及时缓解对于现实世界应用中的量子优势非常重要。迭代地，VQA的经典优化器根据目标函数评估候选电路，并挑选出最佳电路以实现应用程序的目标。噪声波动会对VQA迭代的调谐候选的目标函数估计造成显著的瞬态影响。这可能会严重影响VQA调谐，并通过扩展，其准确性和收敛性。本文提出QISMET：量子迭代跳过，以减轻错误瞬变，导航动态噪声景观的VQA。QISMET主动避免了高波动噪声的情况，这些噪声预计会对特定VQA迭代产生显著的瞬态误差影响。为了实现这一点，QISMET估计瞬态误差在VQA迭代和设计一个控制器，以保持VQA调整忠实于无瞬态的情况。通过这样做，QISMET有效地减轻了大部分瞬态噪声对VQA的影响，并能够在不同的应用和机器上将保真度提高1.3 - 3倍于传统VQA基线，比替代方法提高1.6- 2.4倍。
In the Noisy Intermediate Scale Quantum (NISQ) era, the dynamic nature of quantum systems causes noise sources to constantly vary over time. Transient errors from the dynamic NISQ noise landscape are challenging to comprehend and are especially detrimental to classes of applications that are iterative and/or long-running, and therefore their timely mitigation is important for quantum advantage in real-world applications.The most popular examples of iterative long-running quantum applications are variational quantum algorithms (VQAs). Iteratively, VQA’s classical optimizer evaluates circuit candidates on an objective function and picks the best circuits towards achieving the application’s target. Noise fluctuation can cause a significant transient impact on the objective function estimation of the VQA iterations’ tuning candidates. This can severely affect VQA tuning and, by extension, its accuracy and convergence.This paper proposes QISMET: Quantum Iteration Skipping to Mitigate Error Transients, to navigate the dynamic noise landscape of VQAs. QISMET actively avoids instances of high fluctuating noise which are predicted to have a significant transient error impact on specific VQA iterations. To achieve this, QISMET estimates transient error in VQA iterations and designs a controller to keep the VQA tuning faithful to the transient-free scenario. By doing so, QISMET efficiently mitigates a large portion of the transient noise impact on VQAs and is able to improve the fidelity by 1.3x-3x over a traditional VQA baseline, with 1.6-2.4x improvement over alternative approaches, across different applications and machines.
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DOI：
10.1145/3352460.3358313
发表时间：
2019-09
期刊：
Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture
影响因子：
--
作者：
P. Gokhale;Yongshan Ding;T. Propson;Christopher Winkler;N. Leung;Yunong Shi;D. Schuster;H. Hoffmann;F. Chong
通讯作者：
P. Gokhale;Yongshan Ding;T. Propson;Christopher Winkler;N. Leung;Yunong Shi;D. Schuster;H. Hoffmann;F. Chong
影响因子：
6.4
作者：
Preskill, John
通讯作者：
Preskill, John
DOI：
10.1109/hpca53966.2022.00029
发表时间：
2021-12
期刊：
2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
影响因子：
--
作者：
Gokul Subramanian Ravi;Kaitlin N. Smith;P. Gokhale;A. Mari;N. Earnest;Ali Javadi-Abhari;F. Chong
通讯作者：
Gokul Subramanian Ravi;Kaitlin N. Smith;P. Gokhale;A. Mari;N. Earnest;Ali Javadi-Abhari;F. Chong
影响因子：
8.6
作者：
Schloer, Steffen;Lisenfeld, Juergen;Weides, Martin
通讯作者：
Weides, Martin