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通过绝热捷径实现非绝热几何门的数字量子模拟。

Digital Quantum Simulation of Nonadiabatic Geometric Gates via Shortcuts to Adiabaticity.

作者信息

Wang Yapeng, Ding Yongcheng, Wang Jianan, Chen Xi

机构信息

International Center of Quantum Artificial Intelligence for Science and Technology (QuArtist) and Department of Physics, Shanghai University, Shanghai 200444, China.

Department of Physical Chemistry, University of the Basque Country UPV/EHU, Apartado 644, 48080 Bilbao, Spain.

出版信息

Entropy (Basel). 2020 Oct 19;22(10):1175. doi: 10.3390/e22101175.

Abstract

Geometric phases are used to construct quantum gates since it naturally resists local noises, acting as the modularized units of geometric quantum computing. Meanwhile, fast nonadiabatic geometric gates are required for reducing the information loss induced by decoherence. Here, we propose a digital simulation of nonadiabatic geometric quantum gates in terms of shortcuts to adiabaticity (STA). More specifically, we combine the invariant-based inverse engineering with optimal control theory for designing the fast and robust Abelian geometric gates against systematic error, in the context of two-level qubit systems. We exemplify X and T gates, in which the fidelities and robustness are evaluated by simulations in ideal quantum circuits. Our results can also be extended to constructing two-qubit gates, for example, a controlled-PHASE gate, which shares the equivalent effective Hamiltonian with rotation around the Z-axis of a single qubit. These STA-inspired nonadiabatic geometric gates can realize quantum error correction physically, leading to fault-tolerant quantum computing in the Noisy Intermediate-Scale Quantum (NISQ) era.

摘要

几何相位被用于构建量子门,因为它天然地能抵抗局部噪声,可作为几何量子计算的模块化单元。同时,为了减少退相干引起的信息损失,需要快速非绝热几何门。在此,我们提出一种基于绝热捷径(STA)的非绝热几何量子门的数字模拟方法。具体而言,在两能级量子比特系统的背景下,我们将基于不变量的逆向工程与最优控制理论相结合,来设计快速且抗系统误差的阿贝尔几何门。我们以X门和T门为例,通过理想量子电路中的模拟来评估它们的保真度和稳健性。我们的结果还可扩展到构建两比特门,例如受控相位门,它与单比特绕Z轴旋转具有等效的有效哈密顿量。这些受STA启发的非绝热几何门能够在物理上实现量子纠错,从而在噪声中等规模量子(NISQ)时代实现容错量子计算。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cca1/7597346/6c4a9bad30c2/entropy-22-01175-g001.jpg

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