Unveiling Advanced Computational Applications in Quantum Computing: A Comprehensive Review

J H  Markna; T P  Palatia; Smeetraj Gohel; Bharat Kataria

doi:10.61797/ijanca.v2i2.284

J H Markna Department of Nanoscience and Advanced Materials, Saurashtra University, Rajkot, India
T P Palatia Department of Computer Engineering, VVP Engineering College, Rajkot, India
Smeetraj Gohel Lambton College, Sarnia, ON N7S 6K4, Canada
Bharat Kataria Department of Nanoscience and Advanced Materials, Saurashtra University, Rajkot, India

DOI: https://doi.org/10.61797/ijanca.v2i2.284

Keywords: Quantum computing, Quantum approximate, Optimization algorithm, Quantum key distribution

Abstract

The field of advanced computing applications could experience a significant impact from quantum computing, which is a rapidly developing field with the potential to revolutionize numerous areas of science and technology. In this review, we explore into the various ways in which complex computational problems could be tackled by utilizing quantum computers, including machine learning, optimization, and simulation. One potential application of quantum computers is in machine learning, where they could be used to improve the accuracy and efficiency of algorithms. Complex optimization problems, such as those encountered in logistics and finance, can be addressed using quantum computers as well. Furthermore, the utilization of quantum computers could enable the simulation of intricate systems, such as molecules and materials, leading to significant applications in fields like Physics and Material Technology. Although quantum computers are currently in the early stages of development, they possess the potential to propel numerous areas of science and technology forward in a significant manner. Further research and development are needed to fully realize the potential of quantum computing in the field of advanced computing applications.