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Optimal dephasing for ballistic energy transfer in disordered linear chains.

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Dephasing can enhance energy transfer in one-dimensional chains, even in the ballistic regime, by optimizing transport efficiency. This effect depends on disorder strength and chain length, with critical conditions for beneficial outcomes.

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Area of Science:

  • Quantum transport phenomena
  • Condensed matter physics
  • Energy transfer dynamics

Background:

  • Coherent energy transport in disordered systems is crucial for many physical processes.
  • Dephasing effects are typically understood to hinder quantum transport.
  • The influence of dephasing on transport efficiency in finite systems remains an active research area.

Purpose of the Study:

  • To investigate the role of dephasing in modulating transport efficiency in a finite one-dimensional chain.
  • To determine the conditions under which dephasing is beneficial or detrimental to energy transfer.
  • To explore the interplay between dephasing, disorder, and sink coupling.

Main Methods:

  • Modeling energy transport in a finite 1D chain with nearest-neighbor hopping.
  • Incorporating static disorder (W) and dephasing (γ) into the transport model.
  • Analyzing the effect of coupling to an external acceptor system (sink) with trapping rate (Γ_trap).
  • Deriving analytical solutions for short chains and analyzing transport regimes.

Main Results:

  • Dephasing enhances energy transfer in both localized and ballistic regimes.
  • In the localized regime, optimal dephasing is independent of chain length.
  • In the ballistic regime, optimal dephasing scales with chain length (1/N or 1/sqrt[N]) depending on disorder.
  • Dephasing aids transfer only above a critical disorder strength (W^cr) dependent on sink coupling.

Conclusions:

  • Dephasing can be a beneficial mechanism for enhancing energy transfer in quantum systems, contrary to common assumptions.
  • The optimal dephasing strength is system-dependent, influenced by disorder, chain length, and sink coupling.
  • Understanding these dynamics is key for designing efficient energy transfer systems in nanoscale devices.