Quantum v.s. Classical Computing: Technologies in Tandem
Abstract: This paper examines the parallel evolution of classical and quantum computing, emphasizing their shared foundations, complementary strengths, and the potential for both independent advancements and collaborative innovations. It explores the areas where each technology excels, focusing on mathematical principles, operational logic, gates, algorithms, and practical applications. A detailed comparison of hardware highlights the distinct strengths and limitations of classical and quantum systems, providing a clear perspective on their unique roles. The study underscores the pivotal role of classical computing as a foundation for quantum development, particularly through its application in simulating quantum circuits and advancing quantum algorithms. By analysing the interplay between these two paradigms, the paper sheds light on how they coexist and complement one another, shaping the trajectory of future computing advancements. Ultimately, it highlights their indispensable contributions to the innovation landscape, both as standalone technologies and as interconnected components in the broader computing ecosystem. Keywords: Quantum Computing, Programming, Underling Technologies, Mathematical Foundations, Simulators. Title: Quantum v.s. Classical Computing: Technologies in Tandem Author: Ramona Markoska, Aleksandar Markoski International Journal of Recent Research in Mathematics Computer Science and Information Technology ISSN 2350-1022 Vol. 11, Issue 2, October 2024 - March 2025 Page No: 53-64 Paper Publications Website: www.paperpublications.org Published Date: 22-January-2025 DOI: https://doi.org/0.5281/zenodo.14717542 Paper Download Link (Source) https://www.paperpublications.org/upload/book/Quantum%20v.s.%20Classical%20Computing%20Technologies%20in%20Tandem-22012025-2.pdf
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-01-22
- DOI
- https://doi.org/10.5281/zenodo.14717542
- Citations
- 1
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- article
- Field-Weighted Citation Impact
- 2.48