GPU accelerated Trotter-Suzuki solver for quantum spin dynamics
GPU accelerated Trotter-Suzuki solver for quantum spin dynamics
复制标题
用于量子自旋动力学的 GPU 加速 Trotter-Suzuki 求解器
DOI：
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复制
发表时间：
2013
期刊：
影响因子：
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通讯作者：
H. Pastawski
中科院分区：
文献类型：
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作者：
A. Dente;Carlos S. Bederi'an;P. Zangara;H. Pastawski
非平衡态量子自旋系统的动力学解析是量子信息处理、统计力学和纳米技术中的核心问题。有效的相互作用的多自旋系统的计算模拟是解决这些问题的非常有价值的工具。在这里，我们使用Trotter-Suzuki（TS）算法，这是一种提供量子系统演化的着名策略，以解决自旋动力学问题。我们提出了一个特定的TS版本的GPU实现，这是以前在CPU的单核上实现的。我们开发了一个大规模的并行版本的算法，并比较CPU和GPU实现之间的效率。这种方法大大减少了执行时间，并且能够处理多达27次旋转的系统（仅受GPU内存限制）。
The resolution of dynamics in out of equilibrium quantum spin systems lies at the heart of fundamental questions among Quantum Information Processing, Statistical Mechanics and Nano-Technologies. Efficient computational simulations of interacting many-spin systems are extremely valuable tools for tackling such questions. Here, we use the Trotter-Suzuki (TS) algorithm, a well-known strategy that provides the evolution of quantum systems, to address the spin dynamics. We present a GPU implementation of a particular TS version, which has been previously implemented on single cores in CPUs. We develop a massive parallel version of this algorithm and compare the efficiency between CPU and GPU implementations. This method reduces the execution time considerably and is capable of dealing with systems of up to 27 spins (only limited by GPU memory).