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arXiv 2403.08441quant-ph
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用于模拟量子多体物理的稳定子基态:理论、算法与应用

Stabilizer ground states for simulating quantum many-body physics: theory, algorithms, and applications

Jiace Sun, Lixue Cheng, Shi-Xin Zhang

AI总结:

该研究将稳定子态应用于量子多体基态问题,提出稳定子基态概念,建立等价形式并开发线性扩展算法,数值验证了其可扩展性与效率,为理解和开发先进算法奠定基础。

摘要:

稳定子态,也称为Clifford态,因其简单的数学结构,已被广泛应用于量子信息、量子纠错和量子电路模拟中。在这项工作中,我们应用稳定子态来解决量子多体基态问题,并引入了稳定子基态的概念。我们建立了一种等价形式,用于识别一般Pauli哈密顿量的稳定子基态。此外,我们开发了一种精确且线性扩展的算法,用于获取1D局部哈密顿量的稳定子基态,从而避免了离散优化。所提出的等价形式和线性扩展算法不仅适用于有限尺寸系统,也适用于无限周期系统。算法的可扩展性和效率在不同的哈密顿量上进行了数值基准测试。最后,我们证明稳定子基态不仅是定性理解量子系统的有力工具,也是更先进经典或量子算法的基石。

英文摘要:

Stabilizer states, which are also known as the Clifford states, have been commonly utilized in quantum information, quantum error correction, and quantum circuit simulation due to their simple mathematical structure. In this work, we apply stabilizer states to tackle quantum many-body ground state problems and introduce the concept of stabilizer ground states. We establish an equivalence formalism for identifying stabilizer ground states of general Pauli Hamiltonians. Moreover, we develop an exact and linear-scaled algorithm to obtain stabilizer ground states of 1D local Hamiltonians and thus free from discrete optimization. This proposed equivalence formalism and linear-scaled algorithm are not only applicable to finite-size systems, but also adaptable to infinite periodic systems. The scalability and efficiency of the algorithms are numerically benchmarked on different Hamiltonians. Finally, we demonstrate that stabilizer ground states are promising tools for not only qualitative understanding of quantum systems, but also cornerstones of more advanced classical or quantum algorithms.

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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