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Article
Open AccessOptimizing 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...
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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 ...
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Article
Open AccessObservation of information flow in the anti-𝒫𝒯-symmetric system with nuclear spins
The recently theoretical and experimental researches on \({\mathcal{PT}}\) PT ...
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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...