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Phase Diagram and Self-Organizing Dynamics in a Thermal Ensemble of Strongly Interacting Rydberg Atoms

Dong-Sheng Ding, Hannes Busche, Bao-Sen Shi, Guang-Can Guo, Charles S. Adams

2020Physical Review X51 citationsDOIOpen Access PDF

Abstract

Far-from-equilibrium dynamics that lead to self-organization are highly relevant to complex dynamical systems not only in physics but also in life, earth, and social sciences. However, it is challenging to find systems with sufficiently controllable parameters that allow quantitatively modeling of emergent properties. Here, we study a nonequilibrium phase transition and observe signatures of self-organized criticality in a dilute thermal vapor of atoms optically excited to strongly interacting Rydberg states. Electromagnetically induced transparency provides excellent control over the population dynamics and enables highresolution probing of the driven-dissipative dynamics, which also exhibits phase bistability. Increased sensitivity compared to previous work allows us to reconstruct the complete phase diagram, including in the vicinity of the critical point. We observe that interaction-induced energy shifts and enhanced decay only occur in one of the phases above a critical Rydberg population. This case limits the application of generic mean-field models; however, a modified, threshold-dependent approach is in qualitative agreement with experimental data. Near threshold, we observe self-organized dynamics in the form of population jumps that return the density to a critical value.

Topics & Concepts

PhysicsRydberg formulaExcited stateRydberg atomPhase diagramPopulationPhase transitionThermalRydberg stateCriticalityNon-equilibrium thermodynamicsPhase (matter)Work (physics)Statistical physicsDynamics (music)Thermal fluctuationsAtomic physicsCritical point (mathematics)Electromagnetically induced transparencyEnergy (signal processing)Population inversionMolecular dynamicsMetastabilitySensitivity (control systems)Cold Atom Physics and Bose-Einstein CondensatesMicro and Nano RoboticsQuantum many-body systems
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