Quantum kernel methods for marketing analytics with convergence theory and separation bounds.

Sáez Ortuño L, Forgas Coll S, Ferrara M

DOI: 10.1038/s41598-026-35793-y
Published: 2026 Jan 25
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-35793-y,
  title = {Quantum kernel methods for marketing analytics with convergence theory and separation bounds.},
  author = {Sáez Ortuño L and Forgas Coll S and Ferrara M},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-35793-y},
  url = {https://doi.org/10.1038/s41598-026-35793-y}
}

RIS

TY  - JOUR
TI  - Quantum kernel methods for marketing analytics with convergence theory and separation bounds.
AU  - Sáez Ortuño L
AU  - Forgas Coll S
AU  - Ferrara M
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-35793-y
UR  - https://doi.org/10.1038/s41598-026-35793-y
ER  -

APA

L, S. O., S, F. C., & M, F. (2026). Quantum kernel methods for marketing analytics with convergence theory and separation bounds.. Scientific reports. https://doi.org/10.1038/s41598-026-35793-y

Source records

pubmed · retrieved 2026-09-26T02:31:17.118Z