NONEQUILIBRIUM STATISTICAL PHYSICS OF FEEDBACK-CONTROLLED AND AUTONOMOUS INFORMATION-THERMODYNAMIC SYSTEMS

dc.contributor.advisorJarzynski, Christopheren_US
dc.contributor.authorBhattacharyya, Debankuren_US
dc.contributor.departmentChemical Physicsen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2024-09-23T06:07:35Z
dc.date.available2024-09-23T06:07:35Z
dc.date.issued2024en_US
dc.description.abstractThis 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.identifierhttps://doi.org/10.13016/0tfw-vuds
dc.identifier.urihttp://hdl.handle.net/1903/33392
dc.language.isoenen_US
dc.subject.pqcontrolledStatistical physicsen_US
dc.subject.pqcontrolledQuantum physicsen_US
dc.subject.pqcontrolledThermodynamicsen_US
dc.subject.pquncontrolledDouble quantum doten_US
dc.subject.pquncontrolledFeedback controlen_US
dc.subject.pquncontrolledInformation thermodynamicsen_US
dc.subject.pquncontrolledMaxwell's demonen_US
dc.subject.pquncontrolledShortcuts to adiabaticityen_US
dc.subject.pquncontrolledStochastic thermodynamicsen_US
dc.titleNONEQUILIBRIUM STATISTICAL PHYSICS OF FEEDBACK-CONTROLLED AND AUTONOMOUS INFORMATION-THERMODYNAMIC SYSTEMSen_US
dc.typeDissertationen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Bhattacharyya_umd_0117E_24578.pdf
Size:
8.11 MB
Format:
Adobe Portable Document Format