摘要
High-fidelity simulation of rarefied gas flows in near-space is essential for hypersonic vehicle design,but the classical Direct Simulation Monte Carlo(DSMC)method faces computational bottlenecks due to its O(N^(2))complexity in molecular collision handling.This paper proposes a quantum-enhanced DSMC algorithm that leverages the Grover search algorithm to accelerate collision pair selection,reducing the complexity to O(N).The algorithm encodes molecular pairs into quantum superpositions and applies amplitude amplification for parallel screening,while retaining the full physical fidelity of classical DSMC.Numerical experiments validate the efficient preparation of high-fidelity Gaussian states for representing Maxwell-Boltzmann distributions,and confirm that the quantum-enhanced DSMC maintains physical accuracy while exhibiting increasingly pronounced acceleration with system size.This work offers a novel pathway for efficient simulation of complex near-space flow fields.
