Robustness and eventual slow decay of bound states of interacting microwave photons in the Google Quantum AI experiment

• URL: http://arxiv.org/abs/2307.11164v2
• Date: Sat, 11 May 2024 00:21:47 GMT
• Title: Robustness and eventual slow decay of bound states of interacting microwave photons in the Google Quantum AI experiment
• Authors: Federica Maria Surace, Olexei Motrunich,
• Abstract summary: A recent Google Quantum AI experiment demonstrated the persistence of such collective excitations even when the integrability is broken. We study the spectrum of the model realized in the experiment using exact diagonalization and physical arguments. We find that isolated bands corresponding to the descendants of the exact bound states of the integrable model are clearly observable in the spectrum for a large range of system sizes.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Integrable models are characterized by the existence of stable excitations that can propagate indefinitely without decaying. This includes multi-magnon bound states in the celebrated XXZ spin chain model and its integrable Floquet counterpart. A recent Google Quantum AI experiment [A. Morvan et al., Nature 612, 240 (2022)] realizing the Floquet model demonstrated the persistence of such collective excitations even when the integrability is broken: this observation is at odds with the expectation of ergodic dynamics in generic non-integrable systems. We here study the spectrum of the model realized in the experiment using exact diagonalization and physical arguments. We find that isolated bands corresponding to the descendants of the exact bound states of the integrable model are clearly observable in the spectrum for a large range of system sizes. However, our numerical analysis of the localization properties of the eigenstates suggests that the bound states become unstable in the thermodynamic limit. A perturbative estimate of the decay rate agrees with the prediction of an eventual instability for large system sizes.

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