.png){kind=icon}
.png){kind=icon}
Return
Quantum computing for modeling fluid flow in subsurface environments
.png){kind=icon}
OA
AI
DOI：10.1016/j.advwatres.2026.105383.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• VQLS accurately solves discretized Darcy flow systems in 1D, 2D, and 3D porous media. • High-fidelity pressure-field reconstruction is achieved for both homogeneous and heterogeneous permeability fields. • Circuit depth strongly controls the tradeoff between reconstruction accuracy, convergence, and training cost. • Moderate-depth circuits can provide efficient accuracy, while larger or more heterogeneous cases require deeper ansatz structures. • Noise remains a key limitation for near-term quantum hardware, but advances in error mitigation and hardware stability may improve VQLS scalability.
Keywords:
Variational quantum linear solver
Fluid flow in porous media
Quantum computing
Fractured porous media
Noisy intermediate-scale quantum computers
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.2
Papers:
4.5K
Citations:
1.5W
Organization
No organization information available