arXiv · quant-ph· Doyeol "David" Ahn (Department of Electrical and Computer Engineering, University of Seoul, Seoul, Republic of Korea 2 Singularity Quantum Inc., Newport Beach, CA, USA 3 Center for Quantum Information Processing, University of Seoul, Seoul, Republic of Korea 4 School of Mechanical and Aerospace Engineering, Gyeongsang National University, Jinju, Republic of Korea 5 National Quantum Laboratory at Maryland), Byeongyong Park, Rho Shin Myong, Franz Klein·· 1 天前
量子-经典迭代精化在含噪量子硬件上求解压力泊松方程
Quantum-Classical Iterative Refinement for the Pressure-Poisson Equation on NISQ Hardware
arXiv:2610.24342v2阅读论文 PDF ↗
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作者：Doyeol "David" Ahn (Department of Electrical and Computer Engineering, University of Seoul, Seoul, Republic of Korea 2 Singularity Quantum Inc., Newport Beach, CA, USA 3 Center for Quantum Information Processing, Republic of Korea 4 School of Mechanical and Aerospace Engineering, Gyeongsang National University, Jinju, Republic of Korea 5 National Quantum Laboratory at Maryland), Byeongyong Park, Rho Shin Myong, Franz Klein
研究任务与主要进展
基于论文摘要，研究人员提出用于不可压缩 Navier-Stokes 投影方法压力泊松方程的混合量子-经典迭代精化，使量子求解误差作为残差收缩因子进入迭代，而非形成精度下限。
阶段、条件与复现 · 深读核对
- 任务输出与输入访问模型是什么？
- 在什么假设、规模与资源条件下成立？
- 与哪种经典基线比较，是否计入编码与读出？
这些是阅读核对问题；材料未说明的条件保留未知。请结合上方论文版本、资料范围与原文核验。
来源：arXiv · quant-ph · arxiv.org