Thermodynamics from relational imaginary time evolution
POSTER
Abstract
Thermodynamics is traditionally described with statistical ensembles in quantum or classical mechanics. Canonical typicality [1] has related thermodynamics for a system to ensembles of global energy eigenstates of system and its environment analyzing their cardinality. We derive thermodynamics from a single, maximally entangled global state extending the concept of relational time [2-4] to complex relational time.
[1] S. Goldstein, J. L. Lebowitz, R. Tumulka, and N. Zanghì, Canonical typicality, Phys. Rev. Lett. 96, 050403 (2006).
[2] D. N. Page and W. K. Wootters, Evolution without evolution: Dynamics described by stationary observables, Phys. Rev. D 27, 2886 (1983).
[3] A. R. H. Smith and M. Ahmadi, Quantizing time: Interacting clocks and systems, Quantum 3, 160 (2019).
[4] S. Gemsheim and J. M. Rost, Emergence of time from quantum interaction with the environment, Phys. Rev. Lett. 131, 140202 (2023).
[1] S. Goldstein, J. L. Lebowitz, R. Tumulka, and N. Zanghì, Canonical typicality, Phys. Rev. Lett. 96, 050403 (2006).
[2] D. N. Page and W. K. Wootters, Evolution without evolution: Dynamics described by stationary observables, Phys. Rev. D 27, 2886 (1983).
[3] A. R. H. Smith and M. Ahmadi, Quantizing time: Interacting clocks and systems, Quantum 3, 160 (2019).
[4] S. Gemsheim and J. M. Rost, Emergence of time from quantum interaction with the environment, Phys. Rev. Lett. 131, 140202 (2023).
Presenters
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Jan Michael Rost
Max Planck Institute for the Physics of Complex Systems, Max Planck Institute for the Physics of Complex System, Dresden, Germany, Director of the division Finite Systems, Max Planck Institute for the Physics of Complex Systems
Authors
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Jan Michael Rost
Max Planck Institute for the Physics of Complex Systems, Max Planck Institute for the Physics of Complex System, Dresden, Germany, Director of the division Finite Systems, Max Planck Institute for the Physics of Complex Systems
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Sebastian Gemsheim
Max Planck Institute for the Physics of Complex Systems