Hybrid quantum-classical machine learning potential with variational quantum circuits.

Willow SY, Yang DC, Kim KS, Myung CW

Open source

DOI
10.1039/d6ra07180e
Published
2026 Oct 26
Container
RSC advances
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1039/d6ra07180e,
  title = {Hybrid quantum-classical machine learning potential with variational quantum circuits.},
  author = {Willow SY and Yang DC and Kim KS and Myung CW},
  year = {2026},
  journal = {RSC advances},
  doi = {10.1039/d6ra07180e},
  url = {https://doi.org/10.1039/d6ra07180e}
}

RIS

TY  - JOUR
TI  - Hybrid quantum-classical machine learning potential with variational quantum circuits.
AU  - Willow SY
AU  - Yang DC
AU  - Kim KS
AU  - Myung CW
PY  - 2026
JO  - RSC advances
DO  - 10.1039/d6ra07180e
UR  - https://doi.org/10.1039/d6ra07180e
ER  - 

APA

SY, W., DC, Y., KS, K., & CW, M. (2026). Hybrid quantum-classical machine learning potential with variational quantum circuits.. RSC advances. https://doi.org/10.1039/d6ra07180e

Source records