Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7383
Title: Universal bounds on fluctuations in thermal machines and thermal transport junctions
Authors: AGARWALLA, BIJAY KUMAR
SARYAL, SUSHANT
Dept. of Physics
20173558
Keywords: Non-equilibrium statistical physics
quantum thermodynamics
thermodynamic uncertainty relations
Issue Date: Jul-2022
Citation: 155
Abstract: The second law of thermodynamics forbids the possibility of a perpetual machine of a second kind. It provides a universal upper bound on the efficiency of any thermal machine operating between two heat baths, famously known as Carnot Efficiency. But traditional thermodynamics was only concerned with average quantities because typically, fluctuations can be ignored for macro systems, for example, steam engines, automobile engines, etc. With the rapid technological development over the last several decades, we can now investigate systems of sizes that can range from hundreds of nanometers to a few nanometers, such as quantum dots, molecular motors, single atoms, etc, at temperatures that range from micro to nano Kelvin. As a consequence of these advancements, in the past two decades, various small-scale thermal machines have been realized using state-of-the-art experimental techniques like ultracold atoms, single colloidal particles, single-molecule optomechanical systems, and Paul ion-trap technique, etc. Since these devices operate away from equilibrium, understanding non-equilibrium thermodynamic properties of such small-scale systems is an active area of research where one can no longer ignore the role of fluctuations of thermal and/or quantum origins and therefore a proper probabilistic description is required. Thus, a natural question arises that whether any universal bound exists on the fluctuations as well? In this thesis, we attempt to shed light on understanding the properties of fluctuations in non-equilibrium systems and its impact on the performance of thermal machines by providing universal bounds on the fluctuations of the underlying currents. We will first show that, for a time-reversal symmetric continuous thermal machines, the relative fluctuation of the output current is always greater than the relative fluctuations of the input current in linear response. As a consequence, the ratio between the fluctuations of the output and input currents are bounded both from above and below, where the lower (upper) bound is given by the square of the averaged efficiency (square of the Carnot efficiency) of the thermal machine. Then we will generalize our findings to the machines with broken time-reversal symmetry. Later we elaborate an extension of our work to the finite-time quantum cycles, in particular for quantum Otto machines. All of these above studies and obtained universal results uncover a novel relationship among the recently discovered trade-off relations for individual currents, famously known as Thermodynamic Uncertainty Relation (TUR). TUR provides bound on relative fluctuations of individual current in terms of associated entropy production. Our work in the context of thermal machines reveals that TUR for individual currents are not independent of each other but follow a strict hierarchy in the operational regime. In the later part of the thesis, we will focus our attention on the fate of the TUR relation in steady-state and transient-state transport junctions. For steady-state transport following the universal non-equilibrium steady-state fluctuation relations, we derive a general condition on the validity of the TUR for both classical and quantum systems. For transient-state situation we explore TUR in the context of energy transport in a bipartite setting for three exactly solvable toy model systems, two coupled harmonic oscillators, two coupled qubits, and a hybrid coupled oscillator-qubit system, and analyze the role played by the underlying statistics of the transport carriers in the TUR.
URI: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7383
Appears in Collections:PhD THESES

Files in This Item:
File Description SizeFormat 
20173558_Sushant_Saryal_PhD_Thesis.pdfPh.D Thesis7.01 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.