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A programmable qudit-based quantum processor

Author

Listed:
  • Yulin Chi

    (Peking University)

  • Jieshan Huang

    (Peking University)

  • Zhanchuan Zhang

    (Peking University)

  • Jun Mao

    (Peking University)

  • Zinan Zhou

    (Peking University)

  • Xiaojiong Chen

    (Peking University)

  • Chonghao Zhai

    (Peking University)

  • Jueming Bao

    (Peking University)

  • Tianxiang Dai

    (Peking University)

  • Huihong Yuan

    (Peking University
    Beijing Academy of Quantum Information Sciences)

  • Ming Zhang

    (Zhejiang University)

  • Daoxin Dai

    (Zhejiang University)

  • Bo Tang

    (Chinese Academy of Sciences)

  • Yan Yang

    (Chinese Academy of Sciences)

  • Zhihua Li

    (Chinese Academy of Sciences)

  • Yunhong Ding

    (Technical University of Denmark
    Technical University of Denmark)

  • Leif K. Oxenløwe

    (Technical University of Denmark
    Technical University of Denmark)

  • Mark G. Thompson

    (University of Bristol)

  • Jeremy L. O’Brien

    (The University of Western Australia)

  • Yan Li

    (Peking University
    Peking University
    Shanxi University
    Peking University Yangtze Delta Institute of Optoelectronics)

  • Qihuang Gong

    (Peking University
    Beijing Academy of Quantum Information Sciences
    Peking University
    Shanxi University)

  • Jianwei Wang

    (Peking University
    Beijing Academy of Quantum Information Sciences
    Peking University
    Shanxi University)

Abstract

Controlling and programming quantum devices to process quantum information by the unit of quantum dit, i.e., qudit, provides the possibilities for noise-resilient quantum communications, delicate quantum molecular simulations, and efficient quantum computations, showing great potential to enhance the capabilities of qubit-based quantum technologies. Here, we report a programmable qudit-based quantum processor in silicon-photonic integrated circuits and demonstrate its enhancement of quantum computational parallelism. The processor monolithically integrates all the key functionalities and capabilities of initialisation, manipulation, and measurement of the two quantum quart (ququart) states and multi-value quantum-controlled logic gates with high-level fidelities. By reprogramming the configuration of the processor, we implemented the most basic quantum Fourier transform algorithms, all in quaternary, to benchmark the enhancement of quantum parallelism using qudits, which include generalised Deutsch-Jozsa and Bernstein-Vazirani algorithms, quaternary phase estimation and fast factorization algorithms. The monolithic integration and high programmability have allowed the implementations of more than one million high-fidelity preparations, operations and projections of qudit states in the processor. Our work shows an integrated photonic quantum technology for qudit-based quantum computing with enhanced capacity, accuracy, and efficiency, which could lead to the acceleration of building a large-scale quantum computer.

Suggested Citation

  • Yulin Chi & Jieshan Huang & Zhanchuan Zhang & Jun Mao & Zinan Zhou & Xiaojiong Chen & Chonghao Zhai & Jueming Bao & Tianxiang Dai & Huihong Yuan & Ming Zhang & Daoxin Dai & Bo Tang & Yan Yang & Zhihua, 2022. "A programmable qudit-based quantum processor," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28767-x
    DOI: 10.1038/s41467-022-28767-x
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    Cited by:

    1. Pavel Hrmo & Benjamin Wilhelm & Lukas Gerster & Martin W. Mourik & Marcus Huber & Rainer Blatt & Philipp Schindler & Thomas Monz & Martin Ringbauer, 2023. "Native qudit entanglement in a trapped ion quantum processor," Nature Communications, Nature, vol. 14(1), pages 1-6, December.
    2. Jieshan Huang & Xudong Li & Xiaojiong Chen & Chonghao Zhai & Yun Zheng & Yulin Chi & Yan Li & Qiongyi He & Qihuang Gong & Jianwei Wang, 2024. "Demonstration of hypergraph-state quantum information processing," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    3. Maoliang Wei & Kai Xu & Bo Tang & Junying Li & Yiting Yun & Peng Zhang & Yingchun Wu & Kangjian Bao & Kunhao Lei & Zequn Chen & Hui Ma & Chunlei Sun & Ruonan Liu & Ming Li & Lan Li & Hongtao Lin, 2024. "Monolithic back-end-of-line integration of phase change materials into foundry-manufactured silicon photonics," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    4. Noah Goss & Alexis Morvan & Brian Marinelli & Bradley K. Mitchell & Long B. Nguyen & Ravi K. Naik & Larry Chen & Christian Jünger & John Mark Kreikebaum & David I. Santiago & Joel J. Wallman & Irfan S, 2022. "High-fidelity qutrit entangling gates for superconducting circuits," Nature Communications, Nature, vol. 13(1), pages 1-6, December.
    5. Irene Fernández de Fuentes & Tim Botzem & Mark A. I. Johnson & Arjen Vaartjes & Serwan Asaad & Vincent Mourik & Fay E. Hudson & Kohei M. Itoh & Brett C. Johnson & Alexander M. Jakob & Jeffrey C. McCal, 2024. "Navigating the 16-dimensional Hilbert space of a high-spin donor qudit with electric and magnetic fields," Nature Communications, Nature, vol. 15(1), pages 1-9, December.

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