Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...

Cluster of Excellence PhoenixD, Leibniz University Hannover, 30167 Hannover, Germany Institute of Photonics, Leibniz University Hannover, 30167 Hannover, Germany Cluster of Excellence PhoenixD, ...

Robust state Illustration of how discrete Fourier transform (DFT) circuits are used to achieve the entanglement measurement of the W state. (Courtesy: KyotoU/Takeuchi lab) Imagine two particles so ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Infrared (IR) spectroscopy is a powerful method for mapping chemical heterogeneity on ...

In this third video of our Transformer series, we’re diving deep into the concept of Linear Transformations in Self Attention. Linear Transformation is fundamental in Self Attention Mechanism, shaping ...

A set of Java tools for mathematical computations, including various interpolation techniques, linear algebra functions for tridiagonal matrices, Fourier transforms, and an image scaling application.

With the development of quantum algorithms and practical quantum computing devices, how to efficiently simulate emerging quantum algorithms via quantum circuit simulators on classical ...

ABSTRACT: As quantum computing transitions from a theoretical domain to a practical technology, many aspects of established practice in software engineering are being faced with new challenges.

This multipart series will review the discrete Fourier Transform and describe how to avoid common problems when transitioning from the time to frequency domain. A recent post on phase noise discussed ...

The significant uncertainty and complexity of vessels at sea poses challenges for regulatory bodies in the fishing industry. This paper presents a method for identifying fishing vessel trajectory ...