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Memory Effects in Quantum Dynamics Modelled by Quantum Renewal Processes.

Nina Megier1,2, Manuel Ponzi1, Andrea Smirne1,2

  • 1Dipartimento di Fisica "Aldo Pontremoli", Università degli Studi di Milano, Via Celoria 16, 20133 Milan, Italy.

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Summary
This summary is machine-generated.

This study models quantum non-Markovianity using quantum renewal processes. Researchers analyzed how system dynamics, jumps, and waiting times influence non-Markovian behaviors and trace distance evolution.

Keywords:
master equationsmemory effectsnon-Markovianityopen quantum systemsrenewal processes

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Area of Science:

  • Quantum Physics
  • Quantum Information Theory
  • Open Quantum Systems

Background:

  • Controllable quantum models are crucial for manipulating quantum resources.
  • Understanding non-Markovian dynamics in open quantum systems is essential for quantum technologies.

Purpose of the Study:

  • To investigate quantum non-Markovianity using quantum renewal processes.
  • To analyze the influence of quantum renewal process constituents on non-Markovianity.

Main Methods:

  • Modeling open quantum system evolution via quantum renewal processes.
  • Characterizing non-Markovian dynamics using trace distance between reduced states.
  • Adopting a trajectory picture for open quantum system evolution.

Main Results:

  • Identified how time-continuous dynamics, jump types, and waiting time distributions affect non-Markovianity.
  • Analyzed alterations in trace distance evolution, including revivals, beyond just the non-Markovianity measure.
  • Demonstrated the utility of quantum renewal processes for characterizing diverse non-Markovian behaviors.

Conclusions:

  • Quantum renewal processes offer a flexible framework for studying non-Markovian quantum dynamics.
  • The constituents of quantum renewal processes significantly impact non-Markovian features.
  • This approach provides insights into the control and manipulation of quantum resources through non-Markovianity.