Reconstructing thermal states using dimensionally limited probes : A Model for Limited Control & Memory in Quantum Thermodynamics
Jake Xuereb, A. de Oliveira Junior, Fabien Clivaz, Pharnam Bakhshinezhad, Marcus Huber

TL;DR
This paper develops a model for quantum state reconstruction using limited-dimensional probes, linking measurement resources to thermodynamic costs and exploring implications for quantum thermodynamics and Maxwell's demon scenarios.
Contribution
It introduces a unitary framework for reconstructing quantum states with limited control and memory, connecting measurement resources to thermodynamic considerations.
Findings
Reconstruction modeled as a unitary process with partial knowledge
Framework represents coarse-grained POVMs
Application to extended Szilard Engine scenario
Abstract
Whilst the complexity of acquiring knowledge of a quantum state has been extensively studied in the fields of quantum tomography and quantum learning, a physical understanding of its operational role and cost in quantum thermodynamics is lacking. Knowledge is central to thermodynamics, as exemplified by Maxwell's demon thought experiment, where a demonic agent is able to extract paradoxical amounts of work -- reconciled by the thermodynamic costs of acquiring this knowledge. In this work, we address this gap by extending unitary models of measurement to incorporate the resources available to an agent. We view an agent's knowledge of a quantum state as their ability to reconstruct it unitarily given access to states with partial knowledge of the true state. In our model, an agent correlates an unknown -dimensional system, with copies of a -dimensional probe (), which are…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics
