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arXiv 2405.03338quant-phcond-mat.quant-gas
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多量子比特与多量子维特系统中逆参与比估计的量子算法

Quantum Algorithms for Inverse Participation Ratio Estimation in multi-qubit and multi-qudit systems

Yingjian Liu, Piotr Sierant, Paolo Stornati, Maciej Lewenstein, Marcin Płodzień

AI总结:

本研究针对多量子比特与多量子维特系统,提出三种逆参与比(IPR)估计算法,覆盖不同基与系统类型,并通过多种物理场景完成基准测试与资源分析。

摘要:

逆参与比(IPRs)及相关的参与熵可量化量子态在希尔伯特空间选定基上的分布,为系统的平衡与非平衡特性提供研究视角。本研究提出三种在多量子比特与多量子维特量子器件上估计IPR的量子算法。第一种算法通过单量子比特测量估计计算基下的IPR,第二种算法无需知晓系统本征态即可测量选定哈密顿量本征基下的IPR。此外,我们还提出了一种适用于多量子维特系统的计算基下IPR估计算法。我们讨论了这些算法所需的资源,并通过研究单轴扭转协议、形变PXP模型中的热化过程,以及横向场中自旋1 AKLT链的基态对其进行基准测试。

英文摘要:

Inverse Participation Ratios (IPRs) and the related Participation Entropies quantify the spread of a quantum state over a selected basis of the Hilbert space, offering insights into the equilibrium and non-equilibrium properties of the system. In this work, we propose three quantum algorithms to estimate IPRs on multi-qubit and multi-qudit quantum devices. The first algorithm allows for the estimation of IPRs in the computational basis by single-qubit measurements, while the second one enables measurement of IPR in the eigenbasis of a selected Hamiltonian, without the knowledge about the eigenstates of the system. Next, we provide an algorithm for IPR in the computational basis for a multi-qudit system. We discuss resources required by the algorithms and benchmark them by investigating the one-axis twisting protocol, the thermalization in a deformed PXP model, and the ground state of a spin-$1$ AKLT chain in a transverse field.

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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