TensorDual-VQC: Operator Learning for Scalable and Noise-Robust Variational Quantum Circuits

Jun Qi, Chao-Han Huck Yang, Pooja Rao, Hector Zenil, Jesper Tegner

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DOI: 10.21203/rs.3.rs-9591139/v1
Published: 2026-05-15
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Publisher: Springer Science and Business Media LLC
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-9591139/v1,
  title = {TensorDual-VQC: Operator Learning for Scalable and Noise-Robust Variational Quantum Circuits},
  author = {Jun Qi and Chao-Han Huck Yang and Pooja Rao and Hector Zenil and Jesper Tegner},
  year = {2026},
  doi = {10.21203/rs.3.rs-9591139/v1},
  url = {https://doi.org/10.21203/rs.3.rs-9591139/v1}
}

RIS

TY  - JOUR
TI  - TensorDual-VQC: Operator Learning for Scalable and Noise-Robust Variational Quantum Circuits
AU  - Jun Qi
AU  - Chao-Han Huck Yang
AU  - Pooja Rao
AU  - Hector Zenil
AU  - Jesper Tegner
PY  - 2026
DO  - 10.21203/rs.3.rs-9591139/v1
UR  - https://doi.org/10.21203/rs.3.rs-9591139/v1
ER  -

APA

Qi, J., Yang, C. H., Rao, P., Zenil, H., & Tegner, J. (2026). TensorDual-VQC: Operator Learning for Scalable and Noise-Robust Variational Quantum Circuits. https://doi.org/10.21203/rs.3.rs-9591139/v1

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crossref · retrieved 2026-09-26T03:06:23.735Z