P
Prasanta K. Panigrahi
Researcher at Indian Institute of Science Education and Research, Kolkata
Publications - 619
Citations - 8100
Prasanta K. Panigrahi is an academic researcher from Indian Institute of Science Education and Research, Kolkata. The author has contributed to research in topics: Quantum computer & Quantum entanglement. The author has an hindex of 39, co-authored 575 publications receiving 7009 citations. Previous affiliations of Prasanta K. Panigrahi include University of Hyderabad & Indian Institute of Science.
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Book ChapterDOI
Modelling Financial Time Series
P. Manimaran,Jitendra C. Parikh,Prasanta K. Panigrahi,Sujit Basu,C. M. Kishtawal,M. B. Porecha +5 more
TL;DR: A new wavelet based approach is described to separate the trend from the fluctuations in a time series, and a deterministic (non-linear regression) model is constructed for the trend using genetic algorithm.
Journal ArticleDOI
Perfect Teleportation, Quantum state sharing and Superdense Coding through a Genuinely Entangled Five-qubit State
TL;DR: In this article, the usefulness of a recently introduced five qubit state by Brown et al. for quantum teleportation, quantum state sharing and super-dense coding was investigated, and it was shown that this five-qubit state can be utilized for perfect teleportation of arbitrary single and two qubit systems.
Journal ArticleDOI
Multilevel thresholding for image segmentation through a fast statistical recursive algorithm
TL;DR: A novel algorithm is proposed for segmenting an image into multiple levels using its mean and variance, making use of the fact that a number of distributions tend towards Dirac delta function, peaking at the mean, in the limiting condition of vanishing variance.
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Multilevel Thresholding for Image Segmentation through a Fast Statistical Recursive Algorithm
TL;DR: In this article, the authors proposed a method for segmenting an image into multiple levels using its mean and variance, which makes use of the fact that a number of distributions tend towards Dirac delta function, peaking at the mean, in the limiting condition of vanishing variance.
Journal ArticleDOI
Quantum-information splitting using multipartite cluster states
TL;DR: In this paper, the authors provide various schemes for the splitting up of quantum information into parts using four and five-partite cluster states for single and two-qubit quantum information splitting.