Information length in quantum systems

Eun Jin Kim, Patrick Lewis

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


A probabilistic description is essential for understanding the dynamics in many systems due to uncertainty or fluctuations. We show how to utilise time-dependent probability density functions to compute the information length L, as a Lagrangian measure that counts the number of different states that a quantum system evolves through in time. Using L, we examine the information change associated with the evolution of initial Gaussian wave packets and elucidate consequences of quantum effects.

Original languageEnglish
Article number043106
JournalJournal of Statistical Mechanics: Theory and Experiment
Issue number4
Publication statusPublished - 26 Apr 2018
Externally publishedYes


  • stochastic processes

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Statistics, Probability and Uncertainty


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