A programmable qudit-based quantum processor

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 Li, Yunhong Ding, Leif K. Oxenløwe, Mark G. Thompson, Jeremy L. O’Brien, Yan Li, Qihuang Gong and Jianwei Wang ()
Additional contact information
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
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
Leif K. Oxenløwe: Technical University of Denmark
Mark G. Thompson: University of Bristol
Jeremy L. O’Brien: The University of Western Australia
Yan Li: Peking University
Qihuang Gong: Peking University
Jianwei Wang: Peking University

Nature Communications, 2022, vol. 13, issue 1, 1-10

Abstract: 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.

Date: 2022
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DOI: 10.1038/s41467-022-28767-x

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