流体动力点阵气体元胞自动机的全量子算法

Niccolo Fonio, Pierre Sagaut, Giuseppe Di Molfetta
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引用次数: 0

摘要

晶格气体元胞自动机(LGCA)是一种广为人知的计算模型,可用于模拟许多物理现象。它们的实现需要大量的资源和操作,这些资源和操作与系统大小和时间步数呈线性关系。我们提出了一种基于量子指针的量子算法,能够模拟LGCA,同时在空间复杂性和一些独立于系统大小的量子操作方面表现出指数优势。我们提出了一种考虑二体、三体和四体碰撞的FHP栅格自动机的碰撞电路。这些是用两种方法实现的,这两种方法建议了寻找具有更多碰撞的LGCA量子电路的过程。我们还提出了一种相位估计算法来检索单个细胞的信息,该算法的应用可以扩展到实现其他碰撞。提出了一种识别与量子LGCA相关的不变量的一般方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Fully Quantum Algorithm for Hydrodynamic Lattice Gas Cellular Automata
Lattice Gas Cellular Automata (LGCA) are a computational model widely known and applied for the simulation of many physical phenomena. Their implementation requires an amount of resources and operations which scale linearly versus the system size and number of time steps. We propose a quantum-pointers-based quantum algorithm able to simulate LGCA while exhibiting an exponential advantage in space complexity and a number of quantum operations independent from the system size. We propose a collision circuit for the FHP lattice-gas automata considering the 2-, 3-, and 4-body collisions. These are implemented with two methodologies that suggest the procedure for finding quantum circuits for LGCA with more collisions. We also propose a phase estimation algorithm to retrieve information about a single cell, whose application can be expanded for implementing other collisions. A general methodology to identify the invariants associated to quantum LGCA is also proposed.
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