Hybrid quantum-classical modeling of quantum dot devices

被引:17
|
作者
Kantner, Markus [1 ]
Mittnenzweig, Markus [1 ]
Koprucki, Thomas [1 ]
机构
[1] Weierstrass Inst Appl Anal & Stochast, Mohrenstr 39, D-10117 Berlin, Germany
基金
欧洲研究理事会;
关键词
ENERGY MODELS; THERMODYNAMICS; SIMULATION; CARRIER; DYNAMICS; EQUATIONS; TRANSPORT;
D O I
10.1103/PhysRevB.96.205301
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The design of electrically driven quantum dot devices for quantum optical applications asks for modeling approaches combining classical device physics with quantum mechanics. We connect the well-established fields of semiclassical semiconductor transport theory and the theory of open quantum systems to meet this requirement. By coupling the van Roosbroeck system with a quantum master equation in Lindblad form, we introduce a new hybrid quantum-classical modeling approach, which provides a comprehensive description of quantum dot devices on multiple scales: it enables the calculation of quantum optical figures of merit and the spatially resolved simulation of the current flow in realistic semiconductor device geometries in a unified way. We construct the interface between both theories in such a way, that the resulting hybrid system obeys the fundamental axioms of ( non) equilibrium thermodynamics. We show that our approach guarantees the conservation of charge, consistency with the thermodynamic equilibrium and the second law of thermodynamics. The feasibility of the approach is demonstrated by numerical simulations of an electrically driven single-photon source based on a single quantum dot in the stationary and transient operation regime.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] Hybrid quantum-classical convolutional neural networks
    Junhua Liu
    Kwan Hui Lim
    Kristin L.Wood
    Wei Huang
    Chu Guo
    He-Liang Huang
    Science China(Physics,Mechanics & Astronomy), 2021, 64 (09) : 5 - 12
  • [32] Phase space quantum-classical hybrid model
    Garcia, Gerardo
    Ares, Laura
    Luis, Alfredo
    ANNALS OF PHYSICS, 2019, 411
  • [33] Collaborative Resilience in Hybrid Quantum-Classical Networks
    Zhu, Qingcheng
    Zhao, Yongli
    Yu, Xiaosong
    Zhang, Jie
    2022 IEEE 14TH INTERNATIONAL CONFERENCE ON ADVANCED INFOCOMM TECHNOLOGY (ICAIT 2022), 2022, : 116 - 119
  • [34] Hydrogen atom as a quantum-classical hybrid system
    Zhan, Fei
    Wu, Biao
    6TH INTERNATIONAL WORKSHOP DICE2012 SPACETIME - MATTER - QUANTUM MECHANICS: FROM THE PLANCK SCALE TO EMERGENT PHENOMENA, 2013, 442
  • [35] Hybrid quantum-classical convolutional neural networks
    Liu, Junhua
    Lim, Kwan Hui
    Wood, Kristin L.
    Huang, Wei
    Guo, Chu
    Huang, He-Liang
    SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2021, 64 (09)
  • [36] Hybrid quantum-classical convolutional neural networks
    Junhua Liu
    Kwan Hui Lim
    Kristin L. Wood
    Wei Huang
    Chu Guo
    He-Liang Huang
    Science China Physics, Mechanics & Astronomy, 2021, 64
  • [37] A Hybrid Quantum-Classical Algorithm for Robust Fitting
    Anh-Dzung Doan
    Sasdelli, Michele
    Suter, David
    Chin, Tat-Jun
    2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), 2022, : 417 - 427
  • [38] Measure synchronization in hybrid quantum-classical systems
    Qiu, Haibo
    Dong, Yuanjie
    Zhang, Huangli
    Tian, Jing
    CHINESE PHYSICS B, 2022, 31 (12)
  • [39] A hybrid quantum-classical Hamiltonian learning algorithm
    Wang, Youle
    Li, Guangxi
    Wang, Xin
    SCIENCE CHINA-INFORMATION SCIENCES, 2023, 66 (02)
  • [40] A hybrid quantum-classical Hamiltonian learning algorithm
    Youle Wang
    Guangxi Li
    Xin Wang
    Science China Information Sciences, 2023, 66