arXiv (All)
open access
Sparse block encoding with low subnormalisation for quantum linear solvers on unstructured meshes
Unstructured meshes are widely used in modelling and simulation in Computational Fluid Dynamics (CFD) due to their geometric flexibility. However, they require an efficient block encoding circuit describing the system. Here, we present a new block encoding methodology for unstructured mesh solvers b
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
- DiffVortex: A quantum-inspired fast solver for incompressible flows#1414692
- Efficient and Explicit Block Encoding of Finite Difference Discretizations of the Laplacian#1343438
- Quantum element-wise transforms#1143797
- A first introduction to Matrix Product State algorithms for the integration of Lindblad equation#1012999
- Quantum-Inspired Algorithms beyond Unitary Circuits: the Laplace Transform#927218
Record · ID 1411890
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