Evaluating hybrid quantum-classical learning for financial forecasting: a comparative study with classical machine learning models on BSE indices.
- DOI
- 10.3389/frai.2026.1902018
- Published
- 2026
- Container
- Frontiers in artificial intelligence
- 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
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.3389/frai.2026.1902018,
title = {Evaluating hybrid quantum-classical learning for financial forecasting: a comparative study with classical machine learning models on BSE indices.},
author = {Nair R and Chandre P and Makubhai S and Shendkar B and Deotale D and Patil V},
year = {2026},
journal = {Frontiers in artificial intelligence},
doi = {10.3389/frai.2026.1902018},
url = {https://doi.org/10.3389/frai.2026.1902018}
}RIS
TY - JOUR TI - Evaluating hybrid quantum-classical learning for financial forecasting: a comparative study with classical machine learning models on BSE indices. AU - Nair R AU - Chandre P AU - Makubhai S AU - Shendkar B AU - Deotale D AU - Patil V PY - 2026 JO - Frontiers in artificial intelligence DO - 10.3389/frai.2026.1902018 UR - https://doi.org/10.3389/frai.2026.1902018 ER -
APA
R, N., P, C., S, M., B, S., D, D., & V, P. (2026). Evaluating hybrid quantum-classical learning for financial forecasting: a comparative study with classical machine learning models on BSE indices.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1902018
Source records
- pubmed · retrieved 2026-09-25T03:55:58.772Z