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arXiv 2603.04744quant-ph
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可编程的量子模拟非谐动力学

Programmable quantum simulation of anharmonic dynamics

University of Sydney(悉尼大学);School of Physics, University of Sydney(悉尼大学物理学院);School of Chemistry, University of Sydney(悉尼大学化学学院);University of Sydney Nano Institute(悉尼大学纳米研究所)
Cameron McGarry, Teerawat Chalermpusitarak, Kai Schwennicke, Frank Scuccimarra, Maverick J. Millican, Vassili G. Matsos, Christophe H. Valahu, Prachi Nagpal, Ho… 展开作者

Cameron McGarry, Teerawat Chalermpusitarak, Kai Schwennicke, Frank Scuccimarra, Maverick J. Millican, Vassili G. Matsos, Christophe H. Valahu, Prachi Nagpal, Hon-Kwan Chan, Henry L. Nourse, Ivan Kassal, Ting Rei Tan

AI总结:

本研究通过可编程的CV-DV量子模拟,在双井势中实现了非谐动力学的实验验证,利用玻色子-量子信号处理技术调节势能并抑制波包隧穿效应。

摘要:

连续变量-离散变量(CV-DV)量子模拟器为模拟与许多物理和化学分支相关的玻色子动力学提供了自然途径。然而,对任意动力学进行可编程模拟仍然是一个突出的挑战。特别是,模拟非谐动力学,这种动力学在物理科学中普遍存在,具有挑战性,因为CV-DV模拟器中使用的振子具有高度谐振的性质。在此,我们实验性地展示了在多个双井势中可编程的CV-DV量子模拟非谐动力学,该模拟在俘获离子系统中实现。我们使用玻色子-量子信号处理子程序合成时间演化算子,这使得通过控制经典实验参数来调节势能。我们观察到各种双井势中的相干动力学,其中波包穿过势垒,并通过程序性地引入不对称性来抑制这种效应。

英文摘要:

Continuous-variable-discrete-variable (CV-DV) quantum simulators offer a natural route to simulating bosonic dynamics relevant to many branches of physics and chemistry. However, programmable simulation of arbitrary dynamics is an outstanding challenge. In particular, simulating anharmonic dynamics, which is ubiquitous across the physical sciences, is challenging due to the highly harmonic nature of oscillators used in CV-DV simulators. Here, we experimentally demonstrate programmable CV-DV quantum simulation of anharmonic dynamics in a range of double-well potentials, implemented in a trapped-ion system. We synthesise the time-evolution operators using a bosonic-quantum-signal-processing subroutine, which allows the potential to be tuned between experiments by controlling classical experimental parameters. We observe coherent dynamics in various double-well potentials, where a wavepacket tunnels through the potential barrier, and we suppress this effect by programmatically introducing asymmetry.

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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