Information length in quantum systems
Eun‐jin Kim, Patrick Alfryn Lewis · Journal of Statistical Mechanics Theory and Experiment · 2018
Abstract 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 , as a Lagrangian measure that counts the number of different states that a quantum system evolves through in time. Using , we examine the information change associated with the evolution of initial Gaussian wave packets and elucidate consequences of quantum effects.