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Optimal work extraction from quantum batteries based on the expected utility hypothesis.

Gianluca Francica1, Luca Dell'Anna1

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This study explores optimal work extraction in quantum systems for risk-averse agents. It reveals that risk non-neutral agents use specific unitary transformations, dependent on their risk aversion, for efficient work extraction.

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Area of Science:

  • Quantum Thermodynamics
  • Quantum Information Theory
  • Statistical Mechanics

Background:

  • Work extraction is crucial in quantum thermodynamics, with ergotropy representing the maximum achievable work.
  • Traditional models assume risk-neutral agents, optimizing average work extraction.
  • Risk-averse agents, however, are influenced by work fluctuations and follow the expected utility hypothesis.

Purpose of the Study:

  • To investigate optimal work extraction strategies for risk non-neutral agents in quantum finite systems.
  • To analyze how an agent's risk aversion influences the work extraction process.
  • To examine work extraction from both incoherent and coherent initial quantum states.

Main Methods:

  • Maximizing the average utility function over all possible unitary cycles for risk non-neutral agents.
  • Focusing on initial states that are incoherent with respect to the energy basis.
  • Utilizing probability and quasiprobability distributions of work to model outcomes.

Main Results:

  • Optimal work extraction for incoherent states is achieved via incoherent unitary transformations (permutations of the energy basis).
  • The specific unitary transformation depends on the agent's degree of risk aversion.
  • Work extraction from ensembles of quantum batteries and the impact of initial coherence were also examined.

Conclusions:

  • Risk non-neutrality significantly alters optimal work extraction strategies in quantum systems.
  • Incoherent unitary transformations are key for risk-averse work extraction from incoherent states.
  • The framework provides insights into quantum thermodynamics for agents with varying risk preferences.