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February 2, 20260 citationsOpen Access

Qudit-Native Simulation of the Potts Model

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MGMaksim A. GavreevEKEvgeniy O. KiktenkoAFAleksey K. Fedorov

Key Points

  • The aim is to simulate the Potts model efficiently using qudit systems and to explore quantum dynamics.
  • Proposed two qudit-native decomposition schemes for the Potts model.
  • First scheme uses Mølmer-Sørensen gate with local levels for Potts interactions.
  • Second scheme employs a light-shift gate suitable for qudit architectures.
  • Applied Suzuki-Trotter approximation to map model dynamics to qudit gate sequences.
  • Successfully encoded Potts interactions using qudit gates.
  • Demonstrated a mapping of Potts model dynamics into efficient qudit gate sequences.
  • Showed the potential for detecting quantum phase transitions in high-dimensional systems.

Abstract

Simulating entangled, many-body quantum systems is notoriously hard, especially in the case of the high-dimensional nature of the underlying physical objects. In this work, we propose an approach for simulating the Potts model based on the Suzuki–Trotter decomposition that we construct for qudit systems. Specifically, we introduce two qudit-native decomposition schemes: (i) the first utilizes the Mølmer–Sørensen gate and additional local levels to encode the Potts interactions, while (ii) the second employs a light-shift gate that naturally fits qudit architectures. These decompositions enable a direct and efficient mapping of the Potts model dynamics into hardware-efficient qudit gate sequences for a trapped-ion platform. Furthermore, we demonstrate the use of a Suzuki–Trotter approximation with our evolution-into-gates framework for detecting the dynamical quantum phase transition. Our results establish a pathway toward qudit-based digital quantum simulation of many-body models and provide a new perspective on probing nonanalytic behavior in high-dimensional quantum many-body models.

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Cite This Study

Gavreev et al. (2026) studied this question.

synapsesocial.com/papers/6980fff5c1c9540dea812ee8https://doi.org/10.3390/e28020160
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