62 citations · 123 across the 6 of their papers we have counts for
7 papers
Random Separating Hyperplane Theorem and Learning Polytopes
Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar
The Separating Hyperplane theorem is a fundamental result in Convex Geometry with myriad applications. Our first result, Random Separating Hyperplane Theorem (RSH), is a strengthen…
Polarization dynamics of solid-state quantum emitters
Anand Kumar, Çağlar Samaner, Chanaprom Cholsuk +10
Quantum emitters in solid-state crystals have recently attracted a lot of attention due to their simple applicability in optical quantum technologies. The polarization of single ph…
The ideal wavelength for daylight free-space quantum key distribution
Mostafa Abasifard, Chanaprom Cholsuk, Roberto G. Pousa +5
Quantum key distribution (QKD) has matured in recent years from laboratory proof-of-principle demonstrations to commercially available systems. One of the major bottlenecks is the…
Ordered normed spaces of functions of bounded variation
Amit Kumar
In this paper, we define and study the space of all the functions of bounded variation denoted by where is an ordered interval…
Localized creation of yellow single photon emitting carbon complexes in hexagonal boron nitride
Anand Kumar, Chanaprom Cholsuk, Ashkan Zand +5
Single photon emitters in solid-state crystals have received a lot of attention as building blocks for numerous quantum technology applications. Fluorescent defects in hexagonal bo…
An iterative method based FLC-SLM system design for forming multiple complex structures simultaneously in 3D volume with tissue
Amit Kumar, Sarvesh Thakur, S. K. Biswas
Complex structure formation and fast focusing of light inside or through turbid media is a challenging task due to refractive index heterogeneity, random light scattering and speck…
Poisson Approximation to the Convolution of Power Series Distributions
A. N. Kumar, P. Vellaisamy, F. Viens
In this article, we obtain, for the total variance distance, the error bounds between Poisson and convolution of power series distributions via Stein's method. This provides a unif…