电定义硅三量子点系统中的量子信息处理

IF 1.4 4区 物理与天体物理 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Ji-Hoon Kang, Hoon Ryu
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引用次数: 0

摘要

对电学定义的硅(Si)三量子点(TQDs)中的量子比特(qubit)操作进行了计算研究,以提升 TQD 结构作为量子信息处理平台的潜力。以现实中的硅/硅锗异质结构为目标模型,进行了器件仿真,以确保初始化量子比特状态。通过实现单个量子比特操作和相邻 QD 之间的双量子比特纠缠操作,验证了基本的可编程性。通过构建由 1 量子位和 2 量子位块组成的门序列,我们不仅生成了三量子位格林伯格-霍恩-蔡林格状态,还量化了状态保真度在不可避免的误差下的衰减情况,这些误差被纳入自旋量子位哈密顿的主导因子中。这项工作提出了基于第一原理理论的模拟难以实现的工程细节,可作为在硅 QD 平台上设计具有电子自旋量子比特的可扩展量子处理器的实用指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantum information processing in electrically defined Silicon triple quantum dot systems

Quantum bits (qubits) operations in electrically defined Silicon (Si) triple quantum dots (TQDs) are computationally investigated to elevate the potential of TQD structure as a platform for quantum information processing. Employing a realistic Si/Si-germanium heterostructure as a target model, device simulations are conducted to secure an initialized qubit state. Basic programmability is verified through implementation of individual qubit operations and 2-qubit entangling operations between neighboring QDs. Constructing a gate sequence composed of 1-qubit and 2-qubit blocks, then, we not only generate three-qubit Greenberger–Horne–Zeilinger state, but also quantify the degradation of state fidelity under the inevitable inaccuracy which are incorporated in the dominant factors of spin-qubit Hamiltonian. Presenting engineering details that are hard to be carried by simulations based on the first principle theory, this work can be served as a practical guideline for designs of scalable quantum processors with electron spin-qubits in Si QD platforms.

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来源期刊
Solid-state Electronics
Solid-state Electronics 物理-工程:电子与电气
CiteScore
3.00
自引率
5.90%
发文量
212
审稿时长
3 months
期刊介绍: It is the aim of this journal to bring together in one publication outstanding papers reporting new and original work in the following areas: (1) applications of solid-state physics and technology to electronics and optoelectronics, including theory and device design; (2) optical, electrical, morphological characterization techniques and parameter extraction of devices; (3) fabrication of semiconductor devices, and also device-related materials growth, measurement and evaluation; (4) the physics and modeling of submicron and nanoscale microelectronic and optoelectronic devices, including processing, measurement, and performance evaluation; (5) applications of numerical methods to the modeling and simulation of solid-state devices and processes; and (6) nanoscale electronic and optoelectronic devices, photovoltaics, sensors, and MEMS based on semiconductor and alternative electronic materials; (7) synthesis and electrooptical properties of materials for novel devices.
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