Work

Reinforcement Learning for Parameterized Quantum State Preparation: A Comparative Study

Year: 2026

Type: conference-paper

Source: International Conference on Agents and Artificial Intelligence (ICAART)

DOI: 10.5220/0014395600004052

Authors: Gerhard Stenzel, Michael Kölle, Tobias Rohe, Leo Sünkel, Julian Hager, Claudia Linnhoff-Popien

Institution: Ludwig-Maximilians-Universität München

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W7136052724

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