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High-Performance Quantum Computing Simulation for the Quantum Geometric Machine Model

机译:量子几何机器模型的高性能量子计算仿真

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Due to the unavailability of quantum computers, simulation of quantum algorithms using classical computers is still the most affordable option for research of algorithms and models for quantum computing. As such simulation requires high computing power and memory resources, and computations are regular and data-intensive, GPUs become a suitable solution for accelerating the simulation of quantum algorithms. This work introduces an extension of the execution library for the VPE-qGM environment to support GPU acceleration. Hadamard gates with up to 20 quantum bits were simulated, and speedups of up to approximately 540× over a sequential simulation and of approximately 85× over a 8-core distributed simulation in the VirD-GM environment were achieved.
机译:由于量子计算机的不可用,使用经典计算机对量子算法进行仿真仍然是用于量子计算的算法和模型研究的最经济的选择。由于此类仿真需要较高的计算能力和内存资源,并且计算是常规的且数据密集型,因此GPU成为加速量子算法仿真的合适解决方案。这项工作引入了VPE-qGM环境执行库的扩展,以支持GPU加速。在多达20个量子位的Hadamard门上进行了仿真,在VirD-GM环境中,顺序仿真的加速比达到了约540倍,而8核分布式仿真的加速比达到了约85倍。

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