Global calibration of large-scale photonic integrated circuits

被引:1
|
作者
Zheng, Jin-Hao [1 ,2 ]
Wang, Qin-Qin [1 ,3 ]
Feng, Lan-Tian [1 ,3 ,4 ]
Ding, Yu-Yang [5 ]
Xu, Xiao-Ye [1 ,3 ,4 ]
Ren, Xi-Feng [1 ,3 ,4 ]
Li, Chuan-Feng [1 ,3 ,4 ]
Guo, Guang-Can [1 ,3 ,4 ]
机构
[1] Univ Sci & Technol China, Key Lab Quantum Informat, CAS, Hefei 230026, Peoples R China
[2] Univ Sci & Technol China, Sch Gifted Young, Hefei 230026, Peoples R China
[3] Univ Sci & Technol China, Ctr Excellence Quantum Informat & Quantum Phys, CAS, Hefei 230026, Peoples R China
[4] Univ Sci & Technol China, Hefei Natl Lab, Hefei 230088, Peoples R China
[5] Hefei Guizhen Chip Technol Co Ltd, Hefei 230000, Peoples R China
来源
PHYSICAL REVIEW APPLIED | 2024年 / 22卷 / 05期
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
THERMOOPTICAL PHASE-SHIFTER; QUANTUM; DESIGN;
D O I
10.1103/PhysRevApplied.22.054011
中图分类号
O59 [应用物理学];
学科分类号
摘要
The growing maturity of photonic integrated circuit (PIC) fabrication technology enables the high integration of an increasing number of optical components onto a single chip. With the incremental circuit complexity, the calibration of active phase shifters in a large-scale PIC becomes a crucial issue. The traditional one-by-one calibration techniques encounter significant hurdles with the propagation of calibration errors, and achieving the decoupling of all phase shifters for independent calibration is not straightforward. To address this issue, we propose a global calibration approach for large-scale PIC. Our method utilizes a custom network to simultaneously learn the nonlinear phase-current relations for all thermo-optic phase shifters on the PIC by minimizing the negative likelihood of the measurement datasets. Moreover, the reflectivities of all static beam splitter components can also be synchronizedly extracted using this calibration method. As an example, a quantum walk PIC with a circuit depth of 12 is calibrated, and a programmable discrete-time quantum walk is experimentally demonstrated. These results will greatly benefit the applications of large-scale PICs in photonic quantum information processing.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] FAST: A Framework for Simulation and Analysis of Large-Scale Protein-Silicon Biosensor Circuits
    Gu, Ming
    Chakrabartty, Shantanu
    IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2013, 7 (04) : 451 - 459
  • [32] Scalable integration of quantum emitters into photonic integrated circuits
    Sartison, Marc
    Ibarra, Oscar Camacho
    Caltzidis, Ioannis
    Reuter, Dirk
    Joens, Klaus D.
    MATERIALS FOR QUANTUM TECHNOLOGY, 2022, 2 (02):
  • [33] Photonic Integrated Circuits Using Heterogeneous Integration on Silicon
    Komljenovic, Tin
    Huang, Duanni
    Pintus, Paolo
    Tran, Minh A.
    Davenport, Michael L.
    Bowers, John E.
    PROCEEDINGS OF THE IEEE, 2018, 106 (12) : 2246 - 2257
  • [34] A Review of Test Stimulus Compression Methods for Ultra-Large-Scale Integrated Circuits
    Zhou, Liang
    Yang, Daming
    Chen, Lei
    Zhuang, Wei
    Zhang, Shiyuan
    Xiong, Yuanyuan
    APPLIED SCIENCES-BASEL, 2024, 14 (23):
  • [35] Phase-controlled integrated photonic quantum circuits
    Smith, Brian J.
    Kundys, Dmytro
    Thomas-Peter, Nicholas
    Smith, P. G. R.
    Walmsley, I. A.
    OPTICS EXPRESS, 2009, 17 (16): : 13516 - 13525
  • [36] Photonic Crystal Ring Resonator based Optical Filters for Photonic Integrated Circuits
    Robinson, S.
    LIGHT AND ITS INTERACTIONS WITH MATTER, 2014, 1620 : 131 - 138
  • [37] AN INTEGRATED ENERGY SYSTEM WITH LARGE-SCALE ELECTRICAL AND THERMAL ENERGY STORAGE DEVICES
    Zhao, Tian
    Chen, Qun
    PROCEEDINGS OF THE ASME 11TH INTERNATIONAL CONFERENCE ON ENERGY SUSTAINABILITY, 2017, 2017,
  • [38] Uncertainty analysis in a large-scale water quality integrated catchment modelling study
    Moreno-Rodenas, Antonio M.
    Tscheikner-Gratl, Franz
    Langeveld, Jeroen G.
    Clemens, Francois H. L. R.
    WATER RESEARCH, 2019, 158 : 46 - 60
  • [39] Simultaneous optimisation of large-scale problems of heat-integrated water networks
    Ibric, Nidret
    Ahmetovic, Elvis
    Kravanja, Zdravko
    Grossmann, Ignacio E.
    ENERGY, 2021, 235
  • [40] A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling
    Vakayil, Akhil
    Joseph, V. Roshan
    TECHNOMETRICS, 2024, 66 (02) : 295 - 305