Studying few cluster resonances with quantum neural network driven iterative Harrow-Hassidim-Lloyd algorithm
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911030239559680 |
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| author | Zhang, Hantao Bai, Dong Ren, Zhongzhou |
| author_facet | Zhang, Hantao Bai, Dong Ren, Zhongzhou |
| contents | By using the quantum computing the properties of hypernuclei ${}^5_Λ$He, ${}^{\ 6}_{ΛΛ}$He and ${}^9_Λ$Be can be investigated within microscopic cluster model. Our approach combines quantum neural network (QNN) with iterative Harrow-Hassidim-Lloyd (IHHL) algorithm (abbreviated as QNN-IHHL) to solve the quantum many-body problem. To efficiently describe resonance phenomena, we employ complex scaling and eigenvector continuation techniques, providing a robust framework for identifying few-cluster resonance parameters within quantum computing. To validate our quantum algorithm, the resonant $4^{+}$ state of ${}^9_Λ$Be is chosen as a core example. With QNN-IHHL algorithm we realize a fully quantum workflow, which provides a novel framework and some ground work for exploring resonance properties in complex nuclear many-body systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_00074 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Studying few cluster resonances with quantum neural network driven iterative Harrow-Hassidim-Lloyd algorithm Zhang, Hantao Bai, Dong Ren, Zhongzhou Quantum Physics Nuclear Theory By using the quantum computing the properties of hypernuclei ${}^5_Λ$He, ${}^{\ 6}_{ΛΛ}$He and ${}^9_Λ$Be can be investigated within microscopic cluster model. Our approach combines quantum neural network (QNN) with iterative Harrow-Hassidim-Lloyd (IHHL) algorithm (abbreviated as QNN-IHHL) to solve the quantum many-body problem. To efficiently describe resonance phenomena, we employ complex scaling and eigenvector continuation techniques, providing a robust framework for identifying few-cluster resonance parameters within quantum computing. To validate our quantum algorithm, the resonant $4^{+}$ state of ${}^9_Λ$Be is chosen as a core example. With QNN-IHHL algorithm we realize a fully quantum workflow, which provides a novel framework and some ground work for exploring resonance properties in complex nuclear many-body systems. |
| title | Studying few cluster resonances with quantum neural network driven iterative Harrow-Hassidim-Lloyd algorithm |
| topic | Quantum Physics Nuclear Theory |
| url | https://arxiv.org/abs/2507.00074 |