Ismail Onder Orhan

In the rapidly evolving landscape of data science, Quantum Machine Learning (QML) stands as a revolutionary intersection of quantum computing and machine learning (ML). This article delves into the core concepts of QML, its potential applications, challenges, and future prospects, targeting an audience well-versed in scientific and technological nuances. Quantum computing departs from classical computing by using quantum bits or qubits.

Quantum Computers vs. Classical Computers: A Technical Exploration Introduction: The advent of quantum computing marks a revolutionary leap in our computing capabilities, promising to surpass the limitations of classical computers. To understand this advancement, we must explore the fundamental differences between quantum and classical computers in their design, operational principles, and potential applications. . Computational Fundamentals: Bits vs.

Abstract The present study aimed to define the anatomical structures by comparing the transversal computed tomography (CT) and magnetic resonance (MR) images of the forelimb joints of the rabbits with the cross-sectional plastinated images. A total of 14 (seven females, seven males) one-year-old adult New Zealand rabbits were used in the study. After the CT and MR imaging procedures were completed, the forelimbs were removed from the body.