• Photonics Research
  • Vol. 12, Issue 7, 1379 (2024)
Lang Li1,2,3,†, Minglu Cai1,†, Tao Wang1,2,3,†, Zicong Tan1,2,3..., Peng Huang1,2,3, Kan Wu1 and Guihua Zeng1,2,3,4,*|Show fewer author(s)
Author Affiliations
  • 1State Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai Jiao Tong University, Shanghai 200240, China
  • 2Institute of Quantum Sensing and Information Processing, School of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • 3Shanghai Research Center for Quantum Sciences, Hefei National Laboratory, Shanghai 201315, China
  • 4Shanghai Xun Tai Quantech Co., Ltd., Shanghai 200241, China
  • show less
    DOI: 10.1364/PRJ.506960 Cite this Article Set citation alerts
    Lang Li, Minglu Cai, Tao Wang, Zicong Tan, Peng Huang, Kan Wu, Guihua Zeng, "On-chip source-device-independent quantum random number generator," Photonics Res. 12, 1379 (2024) Copy Citation Text show less

    Abstract

    Quantum resources offer intrinsic randomness that is valuable for applications such as cryptography, scientific simulation, and computing. Silicon-based photonics chips present an excellent platform for the cost-effective deployment of next-generation quantum systems on a large scale, even at room temperature. Nevertheless, the potential susceptibility of these chips to hacker control poses a challenge in ensuring security for on-chip quantum random number generation, which is crucial for enabling extensive utilization of quantum resources. Here, we introduce and implement an on-chip source-device-independent quantum random number generator (SDI-QRNG). The randomness of this generator is achieved through distortion-free on-chip detection of quantum resources, effectively eliminating classical noise interference. The security of the system is ensured by employing on-chip criteria for estimating security entropy in a practical chip environment. By incorporating a photoelectric package, the SDI-QRNG chip achieves a secure bit rate of 146.2 Mbps and a bare chip rate of 248.47 Gbps, with all extracted secure bits successfully passing the randomness test. Our experimental demonstration of this chip-level SDI-QRNG shows significant advantages in practical applications, paving the way for the widespread and cost-effective implementation of room-temperature secure QRNG, which marks a milestone in the field of QRNG chips.
    (ΔP^m)2(ΔQ^m)214|[P^m,Q^m]|2=116.

    View in Article

    SMMI(1/2)[α^αLO]=[12(α^+αLO)12(α^αLO)]=[α^1α^2],

    View in Article

    n^1=α^1α^1=12(α^α^+αLO*αLO+αLOα^+αLO*α^),n^2=α^2α^2=12(α^α^+αLO*αLOαLOα^αLO*α^),

    View in Article

    Hlowpralog2upra(δq,δp)Hmaxpra(Qδq|B)Hminpra(Pδp|E),

    View in Article

    Hmaxpra(Qδqmk)=max{qmk,δθm}[2log2kp(qmkcosδθm)],

    View in Article

    Hlowϵpra(Pδp|E)Hlowpra(Pδp|E)1nPΔpra,

    View in Article

    Lang Li, Minglu Cai, Tao Wang, Zicong Tan, Peng Huang, Kan Wu, Guihua Zeng, "On-chip source-device-independent quantum random number generator," Photonics Res. 12, 1379 (2024)
    Download Citation