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MON: Monday Contributed Sessions

MON 23: Poster Session: Fundamental Aspects and Model Systems

MON 23.34: Poster

Monday, September 8, 2025, 18:30–20:30, ZHG Foyer 1. OG

Quantum spin system as reservoir for quantum reservoir computing — •Lara Celine Ortmanns — Deutsches Zentrum für Luft- und Raumfahrt e.V., Linder Höhe, 51147 Köln, Germany

Reservoir computing (RC) is a well-known framework of machine learning, which is used to solve temporal learning tasks, such as temporal pattern recognition and prediction. So far, a variety of physical systems have been considered to implement the reservoir of the RC-scheme [1]. In this project, we investigate a quantum spin system as possible candidate for a quantum reservoir. More specifically, the system is described by the transverse-field Ising model with long-range spin-spin interaction. Additionally, we allow for transverse disorder. Depending on the ratio of involved coupling strengths (interaction and disorder), the system exhibits two dynamical phases, an ergodic and an MBL phase. We raise the question whether counteracting tendencies associated with the vicinity of the phase transition can increase the reservoir performance w.r.t. the ergodic phase for certain tasks.

[1] G. Tanaka et al., Neural Networks 115, 100-123 (2019)

Keywords: quantum reservoir computing; quantum spin system; dynamical phase transition