78 citations · 446 across the 27 of their papers we have counts for
5 papers · 1 filter
Controlling Unpredictability with Observations in the Partially Observed Lorenz '96 Model
K. J. H. Law, D. Sanz-Alonso, A. Shukla +1
In the context of filtering chaotic dynamical systems it is well-known that partial observations, if sufficiently informative, can be used to control the inherent uncertainty due t…
Benford Analysis: A useful paradigm for spectroscopic analysis
Gaurav Bhole, Abhishek Shukla, T. S. Mahesh
Benford's law is a statistical inference to predict the frequency of significant digits in naturally occurring numerical databases. In such databases this law predicts a higher occ…
Benford distributions in NMR
Gaurav Bhole, Abhishek Shukla, T. S. Mahesh
Benford's Law is an empirical law which predicts the frequency of significant digits in databases corresponding to various phenomena, natural or artificial. Although counter intuit…
Single-Shot Quantum Process Tomography
Abhishek Shukla, T. S. Mahesh
The standard procedure for quantum process tomography (QPT) involves applying the quantum process on a system initialized in each of a complete set of orthonormal states. The corre…
Estimating Franck-Condon factors using an NMR quantum processor
Sharad Joshi, Abhishek Shukla, Hemant Katiyar +2
Interaction of molecules with light may lead to electronic transitions and simultaneous vibrational excitations. Franck-Condon factors (FCFs) play an important role in quantifying…