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Gradient Echo Quantum Memory in Warm Atomic Vapor
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Memory engine: Self-organized coherence from internal feedback.

Aranyak Sarkar1

  • 1Bhabha Atomic Research Centre, University of Bayreuth, Experimental Physics I, Universitätsstraße 30, 95447 Bayreuth, Germany and Radiation and Photochemistry Division, Mumbai 400085, India.

Physical Review. E
|December 23, 2025
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Summary
This summary is machine-generated.

Coherent motion emerges in a Brownian particle system through internal feedback and a viscoelastic substrate that records its path. This self-organizing memory engine converts stored memory into predictive, structured movement without external forces.

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Area of Science:

  • Physics
  • Complex Systems
  • Non-equilibrium Statistical Mechanics

Background:

  • Non-Markovian systems exhibit memory effects, influencing dynamics.
  • Coherence in physical systems often requires external driving or tuning.
  • Understanding emergent phenomena in complex systems is crucial.

Purpose of the Study:

  • To introduce and analyze a continuous-space model of the coupled memory graph process.
  • To investigate the emergence of coherence through internal feedback in a minimal non-Markovian framework.
  • To explore the role of a viscoelastic substrate in generating structured particle motion.

Main Methods:

  • Developed a continuous-space realization of the coupled memory graph process.
  • Modeled a Brownian particle interacting with a viscoelastic substrate recording its trajectory.
  • Governed system dynamics using coupled integro-differential equations.
  • Performed simulations to observe system behavior and transitions.

Main Results:

  • Observed a transition from diffusion to coherent burst-trap cycles controlled by substrate stiffness.
  • Identified phase-locked motion and structured dynamics without external forcing.
  • Characterized the coherence point by multimodal speed distributions, directional locking, and spectral entrainment.
  • Found alignment of coherence across memory energy saturation, transfer entropy peaks, and transverse stability bifurcation.

Conclusions:

  • Demonstrated the emergence of a 'memory engine' that converts stored memory into predictive motion.
  • Showcased that coherence arises from internal coupling rather than external tuning.
  • Highlighted the potential for self-organization in generating complex, coherent behaviors in physical systems.