4 papers
Data-driven trap theory for nuclear scattering
Hantao Zhang, Dong Bai, Xilin Zhang +1
We present a novel data-driven trap theory (abbreviated as DDTT) for nuclear scattering, which aims to overcome the limitations of the traditional trap method in dealing with narro…
Studying few cluster resonances with quantum neural network driven iterative Harrow-Hassidim-Lloyd algorithm
Hantao Zhang, Dong Bai, Zhongzhou Ren
By using the quantum computing the properties of hypernuclei He, He and Be can be investigated within microscopic cluster model. Our approach combine…
Iterative Harrow-Hassidim-Lloyd quantum algorithm for solving resonances with eigenvector continuation
Hantao Zhang, Dong Bai, Zhongzhou Ren
We propose a novel quantum algorithm for solving nuclear resonances, which is based on the iterative Harrow-Hassidim-Lloyd algorithm and eigenvector continuation with complex scali…
Quantum computing for extracting nuclear resonances
Hantao Zhang, Dong Bai, Zhongzhou Ren
Quantum computing has been increasingly applied in nuclear physics. In this work, we combine quantum computing with the complex scaling method to address the resonance problem. Due…