Quantum Random Forest for the Regression Problem
Quantum Physics
2026-03-25 v1 Artificial Intelligence
Abstract
The Random Forest model is one of the popular models of Machine learning. We present a quantum algorithm for testing (forecasting) process of the Random Forest machine learning model for the Regression problem. The presented algorithm is more efficient (in terms of query complexity or running time) than the classical counterpart.
Cite
@article{arxiv.2603.22790,
title = {Quantum Random Forest for the Regression Problem},
author = {Kamil Khadiev and Liliya Safina},
journal= {arXiv preprint arXiv:2603.22790},
year = {2026}
}
Comments
Accepted in Quantum Computing - Artificial Intelligence for Industry Applications and Scientific Discovery A Workshop at the IEEE International Conference on Quantum Communications, Networking, and Computing (QCNC) 2026