Abstract

Sadi Carnot's theorem regarding the maximum efficiency of heat engines is considered to be of fundamental importance in thermodynamics. This theorem famously states that the maximum efficiency depends only on the temperature of the heat baths used by the engine, but not on the specific structure of baths. Here, we show that when the heat baths are finite in size, and when the engine operates in the quantum nanoregime, a revision to this statement is required. We show that one may still achieve the Carnot efficiency, when certain conditions on the bath structure are satisfied; however if that is not the case, then the maximum achievable efficiency can reduce to a value which is strictly less than Carnot. We derive the maximum efficiency for the case when one of the baths is composed of qubits. Furthermore, we show that the maximum efficiency is determined by either the standard second law of thermodynamics, analogously to the macroscopic case, or by the non increase of the max relative entropy, which is a quantity previously associated with the single shot regime in many quantum protocols. This relative entropic quantity emerges as a consequence of additional constraints, called generalized free energies, that govern thermodynamical transitions in the nanoregime. Our findings imply that in order to maximize efficiency, further considerations in choosing bath Hamiltonians should be made, when explicitly constructing quantum heat engines in the future. This understanding of thermodynamics has implications for nanoscale engineering aiming to construct small thermal machines.

Highlights

  • Nicolas Léonard Sadi Carnot is often described as the “father of thermodynamics”

  • The question is : given an initial cold bath Hamiltonian HCold, what is the maximum attainable efficiency considering all possible final states ρ1Cold? In both cases of perfect and near perfect work, we find that the efficiency is only maximized whenever ρ1Cold is (A) a thermal state, and (B), when it is a thermal state, can only achieve the Carnot efficiency when the inverse temperature βf is arbitrarily close to βCold

  • We find all cold baths can be used in heat engines; and — remarkably — that even when one of the heat baths is as small as a single qubit, as long as certain conditions of the bath Hamiltonian are met, Carnot efficiency can still be achieved in the quasi-static limit

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Summary

Introduction

Nicolas Léonard Sadi Carnot is often described as the “father of thermodynamics”. In his only publication in 1824 [1], Carnot gave the first successful theory in analysing the maximum efficiency of heat engines. Unlike the large scale heat engines that inspired thermodynamics, we are able to build nanoscale quantum machines consisting of a mere handful of particles, and this has prompted many efforts to understand quantum thermodynamics [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24] Given such nanoscale devices, one of the main issues addressed in quantum thermodynamics is the single-shot analysis of thermodynamical state transitions or work extraction.

The heat engine model
Work in the nanoregime
Definition of efficiency and maximum efficiency
No perfect work
Obtainable efficiency
Comparison to standard free energy results
Proof Overview
We analyze the following cases separately:
Discussions and Conclusion
A The general setting for a heat engine
B The conditions for thermodynamical state transitions
Second law for macroscopic systems
Second laws for nanoscopic systems
Finding a simplified expression for the efficiency
D Efficiency of a heat engine according to macroscopic thermodynamics
H ColdMW ρ1ColdMW
Maximum efficiency for perfect work is Carnot efficiency
H Cold dβ β
Zβ dZβ dβ pi
H Cold dβf βf
Maximum efficiency for near perfect work is still Carnot efficiency
E Efficiency of a nanoscopic quantum heat engine
Impossibility of extracting perfect work
Efficiency for extracting near perfect work
An explicit expression for Wext
An upper bound for the efficiency
Evaluating near perfect work in the quasi-static heat engine
The choice of ε determines the infimum to evaluating Wext
Solving the infimum for Wext
Main results: evaluating the efficiency
Running the heat engine for many cycles quasi-statically
F Extensions to the setup
Defining the generalized efficiency
Final correlations do not allow the surpassing of Carnot efficiency
Achievability of Carnot efficiency still depends on more than temperature
A more general final battery state

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