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    Mapping Phase Diagrams of Quantum Spin Systems through Semidefinite-Programming Relaxations

    David Jansen1, Donato Farina2,3, Luke Mortimer1, Timothy Heightman1,4, Andreas Leitherer1, Pere Mujal1, Jie Wang5, and Antonio Acín1,6

    Phys. Rev. Lett. 136, 050401 – Published 2 February, 2026

    DOI: https://doi.org/10.1103/j9rb-tnj4

    Abstract

    Identifying quantum phase transitions poses a significant challenge in condensed matter physics, as this requires methods that both provide accurate results and scale well with system size. In this work, we demonstrate how relaxation methods can be used to generate the phase diagram for one- and two-dimensional quantum systems. To do so, we formulate a relaxed version of the ground-state problem as a semidefinite program, which we can solve efficiently. Then, by taking the resulting vector of moments for different model parameters, we identify all phase transitions based on their cosine similarity. Furthermore, we show how spontaneous symmetry breaking is naturally captured by bounding the corresponding observable. Using these methods, we reproduce the phase transitions for the one-dimensional transverse field Ising model and the two-dimensional frustrated bilayer Heisenberg model. We also illustrate how the phase diagram of the latter changes when a next-nearest-neighbor interaction is introduced. Overall, our work demonstrates how relaxation methods provide a novel framework for studying and understanding quantum phase transitions.

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