Ajaybeer Kaur
Ritvik Kalsotra
Satyam pandey
- Assistant Professor, Department of computer science, CGC College Of Engineering, Ajit Singh Nagar, Punjab, India
- Student, Department of computer science, CGC College Of Engineering, Ajit Singh Nagar, Punjab, India
- Student, Department of computer science, CGC College Of Engineering, Ajit Singh Nagar, Punjab, India
Abstract
The field of quantum computing is rapidly evolving and holds the potential to fundamentally change our approach to tackling complex problems. In this research, the fundamentals of quantum computing and some possible uses for it is examined. Also, a general review of classical computing and its shortcomings in several specific problem-solving scenarios is outlined.
Qubits serve as the foundational elements of quantum computing. The different kinds of quantum bits, or qubits, and how they vary from conventional bits is discussed. The concept of entanglement, which makes it possible for qubits to be coupled in a manner that conventional bits cannot, is also taken into account.
Quantum computing holds promise for applications such as simulation, optimization, and cryptography. The advantages of quantum computers over traditional computers make it to tackle issues such as factoring big numbers and mimicking intricate physical systems.
Keywords: Quantum computing, Qubits, Entanglement, Classical computing, Problem-solving
[This article belongs to Journal of Software Engineering Tools & Technology Trends(josettt)]
References
- Nielsen A. M, Chuang I, Quantum Computation and Quantum Information (Cambridge University Press, 2000)
- Knill E, “Quantum computing with realistically noisy devices”, Nature 434, 39–44 (2005)
- DiVincenzo P. D, “The physical implementation of quantum computation” Phys. 48, 771–783 (2000)
- Mizel A, Lidar A. D, Mitchell M, “Simple proof of equivalence between adiabatic quantum computation and the circuit model”, Rev. Lett. 99, 070502 (2007)
- Raussendorf R, Briegel H, “A one-way quantum computer”, Phys. Rev. Lett. 86, 5188–5191 (2001)
- Kurgalin S, Borzunov S, “Concise Guide to Quantum Computing: Algorithms, Exercises, and Implementations”, Springer Nature, 2021
- Lipton J. R, Regan K, “Introduction to Quantum Algorithms via Linear Algebra, Second Edition 2021
- Hughes C, Isaacson J, Perry A, Sun F. R, Turner J, “Quantum Computing for the Quantum Curious”, Springer, 202
- Yao Q.K., Zhang , Luo Y.W. and Huang H, “No-Cloning Theorem, Leibniz’s Principle, and the Notion of Uniqueness”, Open Access Library Journal, vol. 1, pp. 1-5, 2014.
- Pattanayak S, “Quantum deep learning”, in Quantum Machine Learning with Python, pp. 281–306. Apress 2021
- Rohit Chaurasiya, Divyayan Dey, Tanmoy Rakshit and Siddhartha Bhattacharyya Series: Studies in Computational Intelligence, vol. 1029, pp. 133, 2022
Journal of Software Engineering Tools & Technology Trends
Volume | 11 |
Issue | 01 |
Received | February 20, 2024 |
Accepted | April 2, 2024 |
Published | April 5, 2024 |