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  1. Thesis
  2. Year of 2025

Role of Statistics as a Thermodynamic Resource in Quantum Engines

https://doi.org/10.15102/0002000859
https://doi.org/10.15102/0002000859
1891c301-7aca-4ccd-8dd2-a40d13c8df90
Name / File License Actions
KarthikeyanMenonKeerthyFulltext.pdf KarthikeyanMenonKeerthyFulltext.pdf (12.4 MB)
KarthikeyanMenonKeerthyExamAbstract.pdf KarthikeyanMenonKeerthyExamAbstract.pdf (48 KB)
Item type 学位論文 / Thesis or Dissertation(1)
PubDate 2025-05-09
Title
Title 量子エンジンにおける統計の熱力学的資源としての機能
Language ja
Title
Title Role of Statistics as a Thermodynamic Resource in Quantum Engines
Language en
Language
Language eng
Keyword
Subject Scheme Other
Subject quantum mechanics | ultracold atoms | quantum degenerate gases | low-dimensional systems | quantum thermodynamics | quantum heat engines | BEC-BCS
Resource Type
Resource Type Identifier http://purl.org/coar/resource_type/c_db06
Resource Type doctoral thesis
Identifier Registration
Identifier Registration 10.15102/0002000859
Identifier Registration Type JaLC
Access Right
Access Rights open access
Access Rights URI http://purl.org/coar/access_right/c_abf2
Author Karthikeyan Menon, Keerthy

× Karthikeyan Menon, Keerthy

en Karthikeyan Menon, Keerthy

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Abstract
Description Type Abstract
Description Ultracold atomic gases serve as ideal platforms for studying complex quantum effects, offering precise control over many degrees of freedom. They are therefore an excellent testbed for exploring fundamental ideas and concepts in quantum thermodynamics, where the principles of quantum mechanics and thermodynamics are linked from first principles. One of the most prominent areas of interest in this field is the study of quantum heat engines—systems in which a quantum working medium undergoes cyclic interactions with hot and cold reservoirs to convert heat into work. In this thesis I explore heat engines that utilize quantum many-body systems as their working medium. At ultracold temperatures, quantum statistical effects play a crucial role, with the fermionic or bosonic nature of the quantum gas directly influencing its energetic behavior. It is therefore an interesting question to ask what an engine that operates based on a quantum statistical energy difference would look like? To address this, I investigate two experimentally realizable settings where quantum statistics can be manipulated: the BEC-BCS crossover in three-dimensional quantum gases and the Lieb-Liniger model in one dimension.
In the first part of this thesis, I introduce the concept of the Pauli engine, a purely quantum engine that operates within the BEC-BCS crossover region. Here, the change in particle statistics effectively replaces conventional heat reservoirs, offering a novel mechanism for work production. I compare the performance of the Pauli engine to both a statistics-based thermal engine and a solely interaction-driven engine. The findings demonstrate that the Pauli engine outperforms both alternatives, establishing quantum statistics as a valuable thermodynamic resource for work extraction. Additionally, I compare my theoretical predictions to experimental data from the realization of the Pauli engine conducted by the group at Kaiserslautern University.
The second part of the thesis focuses on implementing a quantum heat engine using a one-dimensional repulsively interacting Bose gas as the working medium. This system is described by the Lieb-Liniger model, an integrable framework that can be exactly solved using the Bethe ansatz. Within this model, the many-body interactions can be continuously tuned from the non-interacting limit to the strongly interacting Tonks-Girardeau regime, where bosonic atoms exhibit fermionic statistical behavior. Leveraging this statistical transition, I introduce and theoretically analyze two statistically enhanced engine cycles: the A-cycle and the T-cycle. For both cycles, I examine their efficiency at maximum work by optimizing the performance with respect to system length. The results demonstrate that tailoring quantum statistics can significantly enhance engine performance, reinforcing the potential of statistical effects as a thermodynamic resource.
Language en
Exam Date
2025-04-09
Degree Conferral Date
Date Granted 2025-04-30
Degree
Degree Name Doctor of Philosophy
Degree Referral Number
Dissertation Number 甲第187号
Degree Conferrral Institution
Degree Grantor Name Identifier Scheme kakenhi
Degree Grantor Name Identifier 38005
Degree Grantor Name Okinawa Institute of Science and Technology Graduate University
Version Format
Version Type VoR
Version Type Resource http://purl.org/coar/version/c_970fb48d4fbd8a85
Copyright Information
Rights © 2025 The Author.
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