Quantum algorithm for collisionless Boltzmann simulation of self-gravitating systems

IF 3 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Fluids Pub Date : 2025-02-15 Epub Date: 2024-12-19 DOI:10.1016/j.compfluid.2024.106527
Soichiro Yamazaki , Fumio Uchida , Kotaro Fujisawa , Koichi Miyamoto , Naoki Yoshida
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Abstract

The collisionless Boltzmann equation (CBE) is a fundamental equation that governs the dynamics of a broad range of astrophysical systems from space plasma to star clusters and galaxies. It is computationally expensive to integrate the CBE directly in a multi-dimensional phase space, and thus the applications to realistic astrophysical problems have been limited so far. Recently, Todorova & Steijl (2020) proposed an efficient quantum algorithm to solve the CBE with significantly reduced computational complexity. We extend the algorithm to perform quantum simulations of self-gravitating systems, incorporating the method to calculate gravity with the major Fourier modes of the density distribution extracted from the solution-encoding quantum state. Our method improves the dependency of time and space complexities on Nv, the number of grid points in each velocity coordinate, compared to the classical simulation methods. We then conduct some numerical demonstrations of our method. We first run a 1+1 dimensional test calculation of free streaming motion on 64 × 64 grids using 13 simulated qubits and validate our method. We then perform simulations of Jeans collapse, and compare the result with analytic and linear theory calculations. It will thus allow us to perform large-scale CBE simulations on future quantum computers.
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自引力系统无碰撞玻尔兹曼模拟的量子算法
无碰撞玻尔兹曼方程(CBE)是控制从空间等离子体到星团和星系等广泛天体物理系统动力学的基本方程。将CBE直接集成到多维相空间中计算成本很高,因此目前在实际天体物理问题中的应用受到限制。最近,托多罗娃&;Steijl(2020)提出了一种有效的量子算法来求解CBE,大大降低了计算复杂度。我们将该算法扩展到执行自引力系统的量子模拟,将该方法与从解编码量子态中提取的密度分布的主要傅立叶模式结合起来计算重力。与传统的仿真方法相比,该方法改善了时间和空间复杂度对Nv(每个速度坐标的网格点数)的依赖性。然后,我们对我们的方法进行了一些数值演示。我们首先使用13个模拟量子比特在64 × 64网格上运行1+1维的自由流运动测试计算,并验证了我们的方法。然后我们进行了模拟,并与解析和线性理论计算的结果进行了比较。因此,它将允许我们在未来的量子计算机上进行大规模的CBE模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Fluids
Computers & Fluids 物理-计算机:跨学科应用
CiteScore
5.30
自引率
7.10%
发文量
242
审稿时长
10.8 months
期刊介绍: Computers & Fluids is multidisciplinary. The term ''fluid'' is interpreted in the broadest sense. Hydro- and aerodynamics, high-speed and physical gas dynamics, turbulence and flow stability, multiphase flow, rheology, tribology and fluid-structure interaction are all of interest, provided that computer technique plays a significant role in the associated studies or design methodology.
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