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Updated: Sep 1, 2025

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
Published on: February 22, 2018
Boundary chaos
Felix Fritzsch1, Tomaž Prosen1
1Physics Department, Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia.
We studied quantum scrambling in many-body systems using a novel quantum circuit model. Our findings reveal how boundary impurities influence correlations, showing exponential suppression or periodic revivals based on impurity type.
Area of Science:
- Quantum physics
- Many-body systems
- Quantum information
Background:
- Quantum scrambling describes how local quantum information spreads in many-body systems.
- This spreading typically leads to exponential suppression of correlations with increasing system size.
- Understanding the mechanisms of scrambling is crucial for quantum computing and condensed matter physics.
Purpose of the Study:
- To investigate the mechanism of quantum scrambling in a simplified model.
- To explore the role of boundary impurities in controlling quantum correlations.
- To develop a method for studying large system sizes beyond exact diagonalization.
Main Methods:
- Development of a perturbed free quantum circuit model with boundary impurities.
- Mapping dynamical correlation functions to a 2D lattice partition function with complex weights.
- Evaluation of the partition function using transfer matrices for numerical analysis.
- Combining analytical arguments with numerical simulations.
Main Results:
- Demonstrated that boundary impurities can induce ergodicity and control scrambling.
- Showed that correlations are exponentially suppressed with system size for specific unitary impurities.
- Observed persistent revivals of correlations for generic impurities or operator locations.
Conclusions:
- The study provides a mechanism for demonstrating quantum scrambling via boundary perturbations.
- The findings highlight the tunability of quantum correlations through impurity engineering.
- The transfer matrix method enables the study of large-scale quantum systems, offering insights into quantum dynamics.
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