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arXiv 2409.09736quant-phphysics.app-phphysics.comp-phphysics.flu-dyn
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用量子计算模拟流体流动

Simulating fluid flows with quantum computing

Sachin S. Bharadwaj, Katepalli R. Sreenivasan

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17 pages, 12 figures
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AI总结：

本文探讨了量子计算用于流体流动模拟的潜力，梳理了该领域现有进展与待解决的挑战，指出流动非线性是核心瓶颈，需整合多维度研究并关注被忽略的关键细节。

摘要：

高保真流体流动模拟的应用与影响十分深远，其中包括解决湍流领域一些长期存在的基础性问题。然而，这类研究所需的计算资源十分庞大。本文探索了采用量子计算这一新兴计算范式模拟流体流动的可能性，这一新范式的吸引力在于，相较于经典计算，它在内存和速度上具备潜在的指数级优势。该领域近期的研究热度与成果产出均大幅提升。本工作简要梳理了目前已取得的进展（重点聚焦流体流动方向），并列举了需持续攻关才能取得突破的诸多挑战。流体流动的量子计算前景广阔，但流动固有的非线性特性要求研究者着力破解各类瓶颈，整合理论、数值与实验层面的研究进展。本文还提出了若干尚未得到足够关注的关键细节。

英文摘要：

The applications and impact of high fidelity simulation of fluid flows are far-reaching. They include settling some long-standing and fundamental questions in turbulence. However, the computational resources required for such efforts are extensive. Here, we explore the possibility of employing the recent computing paradigm of quantum computing to simulate fluid flows. The lure of this new paradigm is the potentially exponential advantage in memory and speed, in comparison with classical computing. This field has recently witnessed a considerable uptick in excitement and contributions. In this work, we give a succinct discussion of the progress made so far, with focus on fluid flows, accompanied by an enumeration of challenges that require sustained efforts for progress. Quantum computing of fluid flows has a promising future, but the inherently nonlinear nature of flows requires serious efforts on resolving various bottlenecks, and on synthesising progress on theoretical, numerical and experimental fronts. We present certain critical details that have not yet attracted adequate attention.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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