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Complexity study of the Hartle-Hawking state in JT gravity
Ritam Basu
The Wigner function, in general, takes on negative values, and the amount of negativity in the Wigner function gives an operationally meaningful measure of the complexity of simula…
Learning the Emergent Bulk Geometry of the Three Dimensional Ising Model
Ritam Basu
We use Monte Carlo data for the three-dimensional Ising model at the critical temperature to predict an emergent radial geometry of the bulk using machine learning. Specifically, w…
The Information Content of Krylov Observables: A Machine Learning Approach
Ritam Basu
We employ machine learning techniques to estimate the amount of information contained in three Krylov-space observables: the spread complexity , the discrete Wigner negativit…
The Normalised Wigner Negativity Rate as a Second-Moment Probe of Infall in AdS
Ritam Basu
In spread complexity, the growth rate of the average position of a time-evolved state along its Krylov chain recovers the proper radial momentum of an infalling particle in AdS. It…