5 papers
The Information Content of Krylov Observables: A Machine Learning Approach
Ritam Basu
We employ machine learning to quantify the information carried by three Krylov-space observables: the spread complexity , the discrete Wigner negativity , and…
The Normalised Wigner Negativity Rate as a Second-Moment Probe of Infall in AdS
Ritam Basu
In spread complexity, the average position of an operator along its Krylov chain, recovers the right radial momentum of an infalling particle in AdS, yet it is a measure of the fir…
Wigner negativity, random matrices and gravity
Ritam Basu, Pratyusha Chowdhury, Anirban Ganguly +3
Given a choice of an ordered, orthonormal basis for a -dimensional Hilbert space, one can define a discrete version of the Wigner function -- a quasi-probability distribution wh…
Complexity Growth and the Krylov-Wigner function
Ritam Basu, Anirban Ganguly, Souparna Nath +1
For any state in a -dimensional Hilbert space with a choice of basis, one can define a discrete version of the Wigner function -- a quasi-probability distribution which represen…
On the stabilizer complexity of Hawking radiation
Ritam Basu, Onkar Parrikar, Suprakash Paul +1
We study the complexity of Hawking radiation for an evaporating black hole from the perspective of the stabilizer theory of quantum computation. Specifically, we calculate Wigner n…