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arXiv 2201.01562quant-ph

高效模拟多个相同玻色子的工作分布的玻色采样

Efficiently simulating the work distribution of multiple identical bosons with boson sampling

Center for Quantum Technology Research and Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements (MOE), School of Physics, Beijing Institute of Technology(北京理工大学物理学院量子技术研究中心及先进光电子量子架构与测量教育部重点实验室)

Wen-Qiang Liu, Zhang-qi Yin

AI总结:

本文提出利用玻色采样高效模拟多个相同玻色子的工作分布,通过计算量子活塞系统中单玻色本征态间的过渡振幅矩阵,并映射到玻色采样线性光网络,展示了利用光子和线性光学计算复杂量子工作分布的新路径。

摘要:

玻色采样已被理论提出并实验验证显示出量子计算优势。然而,它仍然缺乏对玻色采样实际应用的深入理解。本文提出玻色采样可用于高效模拟多个相同玻色子的工作分布。我们将工作分布与玻色采样联系起来,并数值计算一维量子活塞系统中单玻色本征态之间的过渡振幅矩阵,然后将该矩阵映射到玻色采样线性光网络。利用分组概率估计方法,通过玻色采样输出概率模拟工作分布。该方案最多需要多项式数量的样本和光学元件。我们的工作为仅使用光子和线性光学计算复杂量子工作分布开辟了新路径。

英文摘要:

Boson sampling has been theoretically proposed and experimentally demonstrated to show quantum computational advantages. However, it still lacks the deep understanding of the practical applications of boson sampling. Here we propose that boson sampling can be used to efficiently simulate the work distribution of multiple identical bosons. We link the work distribution to boson sampling and numerically calculate the transition amplitude matrix between the single-boson eigenstates in a one-dimensional quantum piston system, and then map the matrix to a linear optical network of boson sampling. The work distribution can be efficiently simulated by the output probabilities of boson sampling using the method of the grouped probability estimation. The scheme requires at most a polynomial number of the samples and the optical elements. Our work opens up a new path towards the calculation of complex quantum work distribution using only photons and linear optics.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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