Physicists repair flaw of established quantum resource theorem

Quantum information theory is a field of study that examines how quantum technologies store and process information. Over the ...
Phys.org

Probing the quantum nature of black holes through entropy

In a study published in Physical Review Letters, physicists have demonstrated that black holes satisfy the third law of thermodynamics, which states that entropy remains positive and vanishes at ...
Visual Studio Magazine

Principal Component Analysis from Scratch Using Singular Value Decomposition with C#

This article presents a from-scratch C# implementation of the second technique: using SVD to compute eigenvalues and eigenvectors from the standardized source data. If you're not familiar with PCA, ...
Visual Studio Magazine

Principal Component Analysis (PCA) from Scratch Using the Classical Technique with C#

Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.
IEEE

Maximum Eigenvalue Matrix CFAR Detection Using Pre-Processing in Sea Clutter

Abstract: For the pulse Doppler radar system with short pulse sequence, maximum eigenvalue-based matrix CFAR detector (MEMD) provides an effective solution to the problem of detecting moving targets ...
azoquantum

Looking at Quantum Chaos and Random Matrix Theory

What are Quantum Chaos and Random Matrix Theory? Experimental, computational, and conceptual challenges are prevalent in the field of quantum chaos. The mathematical questions that have a direct ...
IEEE

Eigenvalue Analysis-Based Approach for POL-SAR Image Classification

Abstract: A novel polarimetric synthetic aperture radar (POL-SAR) image classification approach is proposed in this paper by exploiting coherency matrix eigenvalues for polarimetric information ...