Work

Quantum Random Forest for the Regression Problem

Year: 2026

Type: conference-paper

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.

Source: International Conference on Quantum Communications, Networking, and Computing (QCNC)

DOI: 10.1109/qcnc69040.2026.00159

Authors: Kamil Khadiev, Liliya Safina

Institutions: Kazan Federal University, Kazan Scientific Center

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7160538513

FWCI:

Cites: 41

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Related to: 10