{"paper":{"title":"Enabling Large-Scale and High-Precision Fluid Simulations on Near-Term Quantum Computers","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["quant-ph"],"primary_cat":"physics.comp-ph","authors_text":"Cheng Xue, Chi Zhang, Chuang-Chao Ye, Guo-Ping Guo, Hai-Feng Zhang, Hao-Ran Tao, Huan-Yu Liu, Jun-Chao Wang, Lei Du, Liang-Liang Guo, Liang Xu, Meng-Han Dou, Ming-Yang Tan, Peng Duan, Peng-Jun-Yi Zhang, Peng Wang, Ren-Ze Zhao, Sheng-Hong Huang, Sheng Zhang, Tai-Ping Sun, Teng-Yang Ma, Tian-Le Wang, Wei-Cheng Kong, Xiao-Fan Xu, Xiao-Yan Yang, Xi-Ning Zhuang, Yong Chen, Yu-Chun Wu, Yun-Jie Wang, Ze-An Zhao, Zhao-Yun Chen, Zhi-Long Jia","submitted_at":"2024-06-10T07:21:23Z","abstract_excerpt":"Quantum computational fluid dynamics (QCFD) offers a promising alternative to classical computational fluid dynamics (CFD) by leveraging quantum algorithms for higher efficiency. This paper introduces a comprehensive QCFD method, including an iterative method \"Iterative-QLS\" that suppresses error in quantum linear solver, and a subspace method to scale the solution to a larger size. We implement our method on a superconducting quantum computer, demonstrating successful simulations of steady Poiseuille flow and unsteady acoustic wave propagation. The Poiseuille flow simulation achieved a relati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.06063","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2406.06063/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}