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  1. Article

    Open Access

    Optimizing a polynomial function on a quantum processor

    The gradient descent method is central to numerical optimization and is the key ingredient in many machine learning algorithms. It promises to find a local minimum of a function by iteratively moving along the...

    Keren Li, Shijie Wei, Pan Gao, Feihao Zhang, Zengrong Zhou in npj Quantum Information (2021)

  2. No Access

    Article

    A low failure rate quantum algorithm for searching maximum or minimum

    Although Durr and Hoyer have proposed state-of-the-art quantum algorithm (DHA) for searching minimum value, the lower limit of DHA’s successful probability is 1/2 . Also, DHA requires approximately ...

    Yanhu Chen, Shijie Wei, **ong Gao, Cen Wang, Yinan Tang in Quantum Information Processing (2020)

  3. Article

    Open Access

    Observation of information flow in the anti-𝒫𝒯-symmetric system with nuclear spins

    The recently theoretical and experimental researches on \({\mathcal{PT}}\) PT ...

    **gwei Wen, Guoqing Qin, Chao Zheng, Shijie Wei, **angyu Kong in npj Quantum Information (2020)

  4. No Access

    Article

    Duality Quantum Simulation of the Yang-Baxter Equation

    The Yang-Baxter equation has become a significant theoretical tool in a variety of areas of physics. It is desirable to investigate the quantum simulation of the Yang-Baxter equation itself, exploring the conn...

    Chao Zheng, Shijie Wei in International Journal of Theoretical Physics (2018)