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Area of Science:

  • Quantum thermodynamics
  • Statistical mechanics
  • Condensed matter physics

Background:

  • Cooling quantum systems is crucial for quantum technologies.
  • Thermodynamic irreversibility, measured by entropy production, limits cooling efficiency.
  • Finite-size reservoirs introduce unique challenges compared to infinite ones.

Purpose of the Study:

  • To investigate the fundamental limits of thermodynamic irreversibility in quantum cooling with finite-size reservoirs.
  • To develop novel cooling protocols that overcome limitations imposed by noninteracting reservoirs.
  • To explore the role of reservoir interactions and phase transitions in enhancing cooling efficiency.

Main Methods:

  • Theoretical analysis of entropy production scaling for noninteracting n-particle reservoirs.
  • Derivation of a new cooling protocol utilizing interacting finite-size reservoirs.
  • Numerical simulations of reservoir configurations, including star-network models.

Main Results:

  • Entropy production scales at most linearly with the number of particles (n) in noninteracting reservoirs.
  • A novel protocol achieves optimal entropy production scaling of Σ∝1/n², possible with interacting reservoirs near a phase transition.
  • Intermediate scaling (Σ∝1/n^δ, δ∈(1,2)) demonstrated with star-network reservoirs.

Conclusions:

  • Interacting finite-size reservoirs offer superior cooling efficiency compared to noninteracting ones.
  • Preparing reservoirs at the verge of a phase transition is key to achieving optimal cooling.
  • This work paves the way for more energetically efficient quantum cooling technologies.