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Noise amplifies decoherence in spin chains, with critical points signaled by a decoherence factor. Revivals occur with strong coupling but diminish with increased noise.

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Area of Science:

  • Quantum physics
  • Condensed matter physics
  • Quantum information science

Background:

  • Decoherence dynamics in quantum systems are crucial for quantum information processing.
  • Understanding the influence of environmental noise on quantum states is a key challenge.
  • Spin chains coupled to noisy environments exhibit complex behaviors.

Purpose of the Study:

  • To analyze decoherence dynamics in a central spin coupled to a spin chain under a time-dependent noisy magnetic field.
  • To investigate how uncorrelated and correlated Gaussian noise affects system decoherence.
  • To explore the relationship between noise characteristics, coupling strength, and decoherence phenomena like revivals and non-Markovianity.

Main Methods:

  • Numerical analysis of decoherence dynamics.
  • Investigation of a central spin coupled to a spin chain model.
  • Characterization of environmental noise as time-dependent, uncorrelated, and correlated Gaussian noise.
  • Analysis of the decoherence factor and its scaling properties.

Main Results:

  • Decoherence is amplified by both uncorrelated and correlated Gaussian noise.
  • The decoherence factor signals critical points and scales exponentially with system size, noise intensity, and correlation time.
  • Strong coupling leads to partial decoherence revivals, which decay with increasing noise intensity.
  • Weak coupling results in monotonic decoherence enhancement.
  • Non-Markovianity decays with noise but increases with noise correlation time.

Conclusions:

  • Environmental noise significantly impacts decoherence in spin chain systems.
  • The decoherence factor serves as a robust indicator of critical dynamics.
  • Coupling strength and noise properties dictate the presence and behavior of decoherence revivals.
  • Noise characteristics influence the non-Markovian nature of the system's dynamics.