Fractional Physics Informed Neural Networks for Surrogate Modeling of Non-Markovian Discrete-Time Quantum Walks
- DOI
- 10.3390/e28080844
- Published
- 2026-07-29
- Container
- Entropy
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/e28080844,
title = {Fractional Physics Informed Neural Networks for Surrogate Modeling of Non-Markovian Discrete-Time Quantum Walks},
author = {Zhaoyu Zhu and Mingxin Liu and Chengtian Liang and Fan Yang and Jizhong Shen and Xintong Wen and Lijiong Shen and Yu Wang},
year = {2026},
journal = {Entropy},
doi = {10.3390/e28080844},
url = {https://doi.org/10.3390/e28080844}
}RIS
TY - JOUR TI - Fractional Physics Informed Neural Networks for Surrogate Modeling of Non-Markovian Discrete-Time Quantum Walks AU - Zhaoyu Zhu AU - Mingxin Liu AU - Chengtian Liang AU - Fan Yang AU - Jizhong Shen AU - Xintong Wen AU - Lijiong Shen AU - Yu Wang PY - 2026 JO - Entropy DO - 10.3390/e28080844 UR - https://doi.org/10.3390/e28080844 ER -
APA
Zhu, Z., Liu, M., Liang, C., Yang, F., Shen, J., Wen, X., Shen, L., & Wang, Y. (2026). Fractional Physics Informed Neural Networks for Surrogate Modeling of Non-Markovian Discrete-Time Quantum Walks. Entropy. https://doi.org/10.3390/e28080844
Source records
- crossref · retrieved 2026-09-25T01:42:18.286Z