Thermodynamic uncertainty relations for coherently driven open quantum systems

Paul Menczel*, Eetu Loisa, Kay Brandner, Christian Flindt

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

37 Citations (Scopus)

Abstract

In classical Markov jump processes, current fluctuations can only be reduced at the cost of increased dissipation. To explore how quantum effects influence this trade-off, we analyze the uncertainty of steady-state currents in Markovian open quantum systems. We first consider three instructive examples and then systematically minimize the product of uncertainty and entropy production for small open quantum systems. As our main result, we find that the thermodynamic cost of reducing fluctuations can be lowered below the classical bound by coherence. We conjecture that this cost can be made arbitrarily small in quantum systems with sufficiently many degrees of freedom. Our results thereby provide a general guideline for the design of thermal machines in the quantum regime that operate with high thermodynamic precision, meaning low dissipation and small fluctuations around average values.

Original languageEnglish
Article number314002
Number of pages21
JournalJournal of Physics A: Mathematical and Theoretical
Volume54
Issue number31
DOIs
Publication statusPublished - 6 Aug 2021
MoE publication typeA1 Journal article-refereed

Funding

The research was supported by Academy of Finland through the Finnish Center of Excellence in Quantum Technology (Project Nos. 312057 and 312299) and Project No. 308515. PM acknowledges support from the Foundational Questions Institute Fund via Grant No. FQXi-IAF19-06. KB has received funding for the research presented in this paper from the Academy of Finland (Contract No. 296073), the University of Nottingham through a Nottingham Research Fellowship and from UK Research and Innovation through a Future Leaders Fellowship (Grant Reference: MR/S034714/1).

Keywords

  • open quantum systems
  • quantum thermodynamics
  • nonequilibrium systems
  • fluctuations and noise
  • thermodynamic uncertainty relations
  • global optimization
  • COUNTING STATISTICS

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