An end-to-end quantum algorithm for nonlinear fluid dynamics with bounded quantum advantage
quant-ph, physics.flu-dyn
Submitted: 2025-12-03
Updated: 2026-09-25
Comments: 57 pages, 9 figures. Published version
Journal ref: PRX Quantum 7, 033060 (2026)
DOI: 10.1103/xysy-q3fp
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Randomized adiabatic quantum linear solver algorithm with optimal complexity scaling and detailed running costs
- Quantum Linear System Solvers: A Survey of Algorithms and Applications
- Toward end-to-end quantum simulation of rapidly distorted turbulence
- Explicit Error Bounds for Carleman Linearization
- Quantum algorithms for general nonlinear dynamics based on the Carleman embedding
- Potential quantum advantage for simulation of fluid dynamics
- Detailed assessment of calculating drag force with quantum computers: Explicit time-evolution precludes exponential advantage for nonlinear differential equations
- Practical Application of the Quantum Carleman Lattice Boltzmann Method in Industrial CFD Simulations
- Fast-forwarding quantum algorithms for linear dissipative differential equations
- Quantum sampling algorithms for quantum state preparation and matrix block-encoding
- Optimal ancilla-free Clifford+T approximation of z-rotations
- Synthesis of unitaries with Clifford+T circuits
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