Thermodynamic resources in continuous-variable quantum systems
Autor: | Jayne Thompson, Mile Gu, Varun Narasimhachar, Benjamin Yadin, Syed M. Assad, Felix C. Binder |
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Přispěvatelé: | School of Physical and Mathematical Sciences, Complexity Institute |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Mathematics [Science]
Class (set theory) Work (thermodynamics) Computer Networks and Communications Thermodynamic equilibrium Computer science QC1-999 FOS: Physical sciences 01 natural sciences Displacement (vector) 010305 fluids & plasmas Continuous variable 0103 physical sciences Computer Science (miscellaneous) Statistical physics 010306 general physics Quantum Condensed Matter - Statistical Mechanics Quantum Physics Statistical Mechanics (cond-mat.stat-mech) Estimation theory Physics Statistical and Nonlinear Physics QA75.5-76.95 Resolution (logic) Quantum Optics Computational Theory and Mathematics Electronic computers. Computer science Quantum Information Quantum Physics (quant-ph) Optics (physics.optics) Physics - Optics |
Zdroj: | npj Quantum Information, Vol 7, Iss 1, Pp 1-7 (2021) npj quantum information |
ISSN: | 2056-6387 |
Popis: | Thermodynamic resources, beyond their well-known usefulness in work extraction and other thermodynamic tasks, are often important also in tasks that are not evidently thermodynamic. Here we develop a framework for identifying such resources in diverse applications of bosonic continuous-variable systems. Introducing the class of bosonic linear thermal operations to model operationally-feasible processes, we apply this model to identify uniquely quantum properties of bosonic states that refine classical notions of thermodynamic resourcefulness. Among these are (1) a suite of temperature-like quantities generalizing the equilibrium temperature to quantum, non-equilibrium scenarios; (2) signal-to-noise ratios quantifying a system's capacity to carry information in phase-space displacement; and (3) well-established non-classicality measures quantifying the resolution in sensing and parameter estimation tasks. 9 pages (6 figures), 4-page supplemental material |
Databáze: | OpenAIRE |
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