{"title":"电定义硅三量子点系统中的量子信息处理","authors":"Ji-Hoon Kang, Hoon Ryu","doi":"10.1016/j.sse.2024.108863","DOIUrl":null,"url":null,"abstract":"<div><p><span><span>Quantum bits (qubits) operations in electrically defined </span>Silicon<span> (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</span></span><span><math><mo>/</mo></math></span><span><span><span>Si-germanium heterostructure as a target model, device simulations are conducted to secure an initialized qubit state. Basic </span>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 </span>Hamiltonian<span>. 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.</span></span></p></div>","PeriodicalId":21909,"journal":{"name":"Solid-state Electronics","volume":"213 ","pages":"Article 108863"},"PeriodicalIF":1.4000,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantum information processing in electrically defined Silicon triple quantum dot systems\",\"authors\":\"Ji-Hoon Kang, Hoon Ryu\",\"doi\":\"10.1016/j.sse.2024.108863\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span><span>Quantum bits (qubits) operations in electrically defined </span>Silicon<span> (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</span></span><span><math><mo>/</mo></math></span><span><span><span>Si-germanium heterostructure as a target model, device simulations are conducted to secure an initialized qubit state. Basic </span>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 </span>Hamiltonian<span>. 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.</span></span></p></div>\",\"PeriodicalId\":21909,\"journal\":{\"name\":\"Solid-state Electronics\",\"volume\":\"213 \",\"pages\":\"Article 108863\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-01-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Solid-state Electronics\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0038110124000121\",\"RegionNum\":4,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Solid-state Electronics","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038110124000121","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
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 SiSi-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.
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.