Paper

Quantum Random Forest for the Regression Problem

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. · Authors: Kamil Khadiev, Liliya Safina · Published 2026-03-24 · arXiv:2603.22790

Published
2026-03-24
Authors
2
arXiv
2603.22790
Category
quant-ph

Abstract

arXiv:2603.22790

Kamil Khadiev, Liliya Safina

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.