https://doi.org/10.1140/epjs/s11734-025-01760-3
Regular Article
Impact of amplitude and phase damping noise on quantum reinforcement learning: challenges and opportunities
1
Física Teórica, Universidad de Sevilla, Apartado de Correos 1065, 41080, Seville, Spain
2
Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080, Seville, Spain
3
Multidisciplinary Unit for Energy Science, Universidad de Sevilla, 41080, Seville, Spain
a
molivera1@us.es
b
jcasado@us.es
Received:
31
March
2025
Accepted:
23
June
2025
Published online:
4
July
2025
Quantum machine learning (QML) is an emerging field with significant potential, yet it remains highly susceptible to noise, which poses a major challenge to its practical implementation. While various noise mitigation strategies have been proposed to enhance algorithmic performance, the impact of noise is not fully understood. In this work, we investigate the effects of amplitude and phase damping noise on a quantum reinforcement learning algorithm. Through analytical and numerical analysis, we assess how these noise sources influence the learning process and overall performance. Our findings contribute to a deeper understanding of the role of noise in quantum learning algorithms and suggest that, rather than being purely detrimental, unavoidable noise may present opportunities to enhance QML processes.
© The Author(s) 2025
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
