TensorHyper-VQC: a tensor-train-guided hypernetwork for robust and scalable variational quantum computing

Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh

Open source

DOI: 10.1038/s41534-025-01157-z
Published: 2026-02-21
Container: npj Quantum Information
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41534-025-01157-z,
  title = {TensorHyper-VQC: a tensor-train-guided hypernetwork for robust and scalable variational quantum computing},
  author = {Jun Qi and Chao-Han Huck Yang and Pin-Yu Chen and Min-Hsiu Hsieh},
  year = {2026},
  journal = {npj Quantum Information},
  doi = {10.1038/s41534-025-01157-z},
  url = {https://doi.org/10.1038/s41534-025-01157-z}
}

RIS

TY  - JOUR
TI  - TensorHyper-VQC: a tensor-train-guided hypernetwork for robust and scalable variational quantum computing
AU  - Jun Qi
AU  - Chao-Han Huck Yang
AU  - Pin-Yu Chen
AU  - Min-Hsiu Hsieh
PY  - 2026
JO  - npj Quantum Information
DO  - 10.1038/s41534-025-01157-z
UR  - https://doi.org/10.1038/s41534-025-01157-z
ER  -

APA

Qi, J., Yang, C. H., Chen, P., & Hsieh, M. (2026). TensorHyper-VQC: a tensor-train-guided hypernetwork for robust and scalable variational quantum computing. npj Quantum Information. https://doi.org/10.1038/s41534-025-01157-z

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crossref · retrieved 2026-11-10T15:08:38.113Z