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T. Vu

4 papers hereh-index 14817 citations41 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • quant-ph2
  • cond-mat.stat-mech1
  • q-bio.MN1
same name
  • T. Vu — 37 papers, h 28
  • T. Vu — 24 papers, h 18
  • T. Vu — 21 papers, h 16
  • T. Vu — 9 papers, h 15
  • T. Vu — 9 papers, h 5
  • T. Vu — 8 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182025
most citedGeometrical Bounds of the Irreversibility in Markovian Systems

124 citations · 157 across the 4 of their papers we have counts for

collaborators

4 papers

quant-ph2025

Information-thermodynamic bounds on precision in interacting quantum systems

Ryotaro Honma, Tan Van Vu

The thermodynamic uncertainty relation quantifies a trade-off between the relative fluctuations of trajectory currents and the thermodynamic cost, indicating that the current preci…

quant-ph2025★ 33 cited

Roadmap on Quantum Thermodynamics

Steve Campbell, Irene D'Amico, Mario A. Ciampini +66

The last two decades has seen quantum thermodynamics become a well established field of research in its own right. In that time, it has demonstrated a remarkably broad applicabilit…

cond-mat.stat-mech2020★ 124 cited

Geometrical Bounds of the Irreversibility in Markovian Systems

Tan Van Vu, Yoshihiko Hasegawa

We derive geometrical bounds on the irreversibility in both quantum and classical Markovian open systems that satisfy the detailed balance condition. Using information geometry, we…

q-bio.MN2018

An algebraic method to calculate parameter regions for constrained steady-state distribution in stochastic reaction networks

Tan Van Vu, Yoshihiko Hasegawa

Steady state is an essential concept in reaction networks. Its stability reflects fundamental characteristics of several biological phenomena such as cellular signal transduction a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.