arXiv (All)
open access
An end-to-end quantum algorithm for nonlinear fluid dynamics with bounded quantum advantage
Computational fluid dynamics (CFD) is a cornerstone of classical scientific computing, and there is growing interest in whether quantum computers can accelerate such simulations. The existing proposals for fault-tolerant quantum algorithms for CFD have almost exclusively been based on the Carleman e
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Quantum Algorithms for Computational Fluid Dynamics#1145129
- Quantum computing and Artificial Intelligence: Toward a new computational paradigm#112930
- Harnessing disordered quantum dynamics for machine learning#478160
- Quantum Machine Learning for Time Series#246674
- Harnessing Quantum Dynamics for Robust and Scalable Quantum Extreme Learning Machines#160863
Record · ID 1104921
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive