Advancing Comprehension of Quantum Application Outputs: A Visualization Technique
Advancing Comprehension of Quantum Application Outputs: A Visualization Technique
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促进对量子应用输出的理解：可视化技术
DOI：
10.1145/3588983.3596689
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Guan, Qiang
中科院分区：
文献类型：
--
作者：
Senapati, Priyabrata;Athawale, Tushar M.;Pugmire, David;Guan, Qiang
尽管过去几年我们在构建量子计算机方面取得了快速进展，但量子计算机中的噪声给量子计算用户带来了挑战。现有的工作已经使用各种缓解技术来解决量子计算机中的噪声，因为纠错需要大量的量子位，而这目前是不可行的。量子计算噪声的后果之一是用户无法在不同时间从同一台量子计算机重现类似的输出，更不用说从不同的量子计算机了。在这项工作中，我们初步尝试从各种量子计算机和无噪声量子模拟器中可视化用于量子机器学习的所有电路的量子基态。我们已经为该领域的进一步研究开辟了一条途径，我们将能够将噪声状态与非噪声状态隔离开来，从而有效地缓解错误。这就是我们的工作朝着有效减少错误的方向迈出的重要一步。我们的工作还为大量量子位情况下的量子噪声可视化提供了基础。
Noise in quantum computers presents a challenge for the users of quantum computing despite the rapid progress we have seen in the past few years in building quantum computers. Existing works have addressed the noise in quantum computers using a variety of mitigation techniques since error correction requires a large number of qubits which is infeasible at present. One of the consequences of quantum computing noise is that users are unable to reproduce similar output from the same quantum computer at different times, let alone from various quantum computers. In this work, we have made initial attempts to visualize quantum basis states for all the circuits that were used in quantum machine learning from various quantum computers and noise-free quantum simulators. We have opened up a pathway for further research into this field where we will be able to isolate noisy states from non-noisy states leading to efficient error mitigation. This is where our work provides an important step in the direction of efficient error mitigation. Our work also provides a ground for quantum noise visualization in the case of large numbers of qubits.
使用 QISMET 驾驭变分量子算法的动态噪声环境
DOI：
10.1145/3575693.3575739
发表时间：
2023
期刊：
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems
影响因子：
--
作者：
Ravi, Gokul Subramanian;Smith, Kaitlin;Baker, Jonathan M.;Kannan, Tejas;Earnest, Nathan;Javadi-Abhari, Ali;Hoffmann, Henry;Chong, Frederic T.
通讯作者：
Chong, Frederic T.
了解并补偿 IBM 量子计算机上的噪声
影响因子：
0.9
作者：
Scott Johnstun;J. V. Van Huele
通讯作者：
J. V. Van Huele