aiqbench analysis
This research proposes an autonomous feedback protocol using quantum-dot detectors to optimize nanoscale thermoelectric heat engines under uncertain thermal conditions. By dynamically adjusting the properties of a quantum-point-contact-based engine, the study demonstrates how adaptive control can maintain performance when external temperature gradients are not known in advance. The work bridges quantum physics and energy conversion, offering a pathway for more robust nanoscale power generation systems.
An autonomous feedback protocol: responding to temperature and potential changes in energy converters
arXiv:2608.21113v1 Announce Type: cross Abstract: Nanoscale thermoelectric devices convert tiny amounts of heat into power. But what happens if the external conditions and resulting temperature differences are not a priori known? We propose a feedback mechanism that optimizes the performance of a quantum-point-contact-based heat engine (QPC). A quantum-dot detector measures the external conditions and gives autonomous feedback on the QPC's properties. We expect this feedback mechanism to be experimentally relevant for steady-state engines with unknown external conditions and for adapting dynamic charging processes to the potential buildup.
Abstract:Nanoscale thermoelectric devices convert tiny amounts of heat into power. But what happens if the external conditions and resulting temperature differences are not a priori known? We propose a feedback mechanism that optimizes the performance of a quantum-point-contact-based heat engine (QPC). A quantum-dot detector measures the external conditions and gives autonomous feedback on the QPC's properties. We expect this feedback mechanism to be experimentally relevant for steady-state engines with unknown external conditions and for adapting dynamic charging processes to the potential buildup.
Mesoscale and Nanoscale Physics (cond-mat.mes-hall); Quantum Physics (quant-ph)
arXiv:2608.21113 [cond-mat.mes-hall]
(or arXiv:2608.21113v1 [cond-mat.mes-hall] for this version)
https://doi.org/10.48550/arXiv.2608.21113 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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