NONEQUILIBRIUM STATISTICAL PHYSICS OF FEEDBACK-CONTROLLED AND AUTONOMOUS INFORMATION-THERMODYNAMIC SYSTEMS
dc.contributor.advisor | Jarzynski, Christopher | en_US |
dc.contributor.author | Bhattacharyya, Debankur | en_US |
dc.contributor.department | Chemical Physics | en_US |
dc.contributor.publisher | Digital Repository at the University of Maryland | en_US |
dc.contributor.publisher | University of Maryland (College Park, Md.) | en_US |
dc.date.accessioned | 2024-09-23T06:07:35Z | |
dc.date.available | 2024-09-23T06:07:35Z | |
dc.date.issued | 2024 | en_US |
dc.description.abstract | This thesis investigates the nonequilibrium dynamics of a variety of systems evolving under control protocols. A control protocol can involve feedback based on measurements performed by an external agent, or it can be a predefined protocol that does not rely on explicit measurements of the system’s state. In the context of information thermodynamics, the former setup belongs to the paradigm of non-autonomous or feedback-controlled Maxwell's demons, and the latter to the paradigm of autonomous demons. The thesis begins with a framework for analyzing non-autonomous feedback control, when the control protocol is applied by an agent making continuous measurements on the system. A multiple-timescales perturbation theory, applicable when there exists an appropriate separation of timescales, is developed. This framework is applied to a classical two-state toy model of an information engine – a device that uses feedback control of thermal fluctuations to convert heat into work. Additionally, quantum trajectory simulations are used to study a feedback-controlled model of Maxwell's demon in a double quantum dot system. Next, a modeling scheme for converting feedback-controlled Maxwell's demons to autonomous (non-feedback) systems is developed. This scheme explicitly accounts for the thermodynamic costs of information processing, by incorporating an information reservoir, modeled as a sequence of bits. This modeling scheme is then applied for converting the classical analogue of the non-autonomous double quantum dot Maxwell's demon, discussed previously, to an autonomous model. Using analytical, semi-analytical and stochastic simulation-based approaches, it is shown that the obtained model can act either as an information engine, or as a “Landauer eraser”, and then the phase diagrams that identify these regimes of behavior are constructed. Finally, fast-forward shortcuts to adiabaticity for classical Floquet-Hamiltonian systems is developed, and applied to a periodically driven asymmetric double well (without feedback control). Tools from dynamical systems theory are then used to characterize the system’s angle-variable dynamics. | en_US |
dc.identifier | https://doi.org/10.13016/0tfw-vuds | |
dc.identifier.uri | http://hdl.handle.net/1903/33392 | |
dc.language.iso | en | en_US |
dc.subject.pqcontrolled | Statistical physics | en_US |
dc.subject.pqcontrolled | Quantum physics | en_US |
dc.subject.pqcontrolled | Thermodynamics | en_US |
dc.subject.pquncontrolled | Double quantum dot | en_US |
dc.subject.pquncontrolled | Feedback control | en_US |
dc.subject.pquncontrolled | Information thermodynamics | en_US |
dc.subject.pquncontrolled | Maxwell's demon | en_US |
dc.subject.pquncontrolled | Shortcuts to adiabaticity | en_US |
dc.subject.pquncontrolled | Stochastic thermodynamics | en_US |
dc.title | NONEQUILIBRIUM STATISTICAL PHYSICS OF FEEDBACK-CONTROLLED AND AUTONOMOUS INFORMATION-THERMODYNAMIC SYSTEMS | en_US |
dc.type | Dissertation | en_US |
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