Quantum Computing’s Paradigm Shift: Implications and Opportunities for Cloud Computing
Keywords:
Cloud Computing, Hybrid Cloud Services, Quantum-computing, Quantum Cloud Services, Quantum Cryptography.Abstract
The field of computing is about to undergo a revolution thanks to quantum computing, a ground-breaking innovation based on the ideas of quantum physics. The enormous implications and potential that quantum computing has for cloud computing are explored in this publication. We examine the difficulties faced by current cryptography systems as well as prospective improvements in fields like machine learning, simulations, and data security as we delve into the basic alterations in computing paradigms. Additionally, we go over the revolutionary possibilities for cloud computing, such as the creation of quantum-safe cloud security solutions, hybrid computing models, and quantum cloud services.
Downloads
References
Nielsen, M. A., & Chuang, I. L. (2010). Quantum Computation and Quantum Information. Cambridge University Press.
Preskill, J. (1998). Quantum Computation and Quantum Information. Caltech, Pasadena, CA, USA, 43(2), 42-48.
Mermin, N. D. (2007). Quantum Computer Science: An Introduction. Cambridge University Press.
Shor, P. W. (1994). Algorithms for Quantum Computation: Discrete Logarithms and Factoring. Proceedings 35th Annual Symposium on Foundations of Computer Science, 124-134.
Bennett, C. H., & Brassard, G. (1984). Quantum cryptography: Public key distribution and coin tossing. Proceedings of IEEE International Conference on Computers, Systems and Signal Processing, 175-179.D. Zhang et al., "Research on Diagnosis Characteristics of Wheat Powdery Mildew Under Different Severity Grading Standards," 2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), pp. 1-6, 2019.
Shor, P. W. (1994). Algorithms for Quantum Computation: Discrete Logarithms and Factoring. Proceedings 35th Annual Symposium on Foundations of Computer Science, 124-134.
Peruzzo, A., McClean, J., Shadbolt, P., Yung, M. H., Zhou, X. Q., Love, P. J., ... & O'Brien, J. L. (2014). A variational eigenvalue solver on a photonic quantum processor. Nature Communications, 5, 4213.
Wecker, D., Hastings, M. B., & Troyer, M. (2015). Progress towards practical quantum variational algorithms. Physical Review A, 92(2), 022305.
Rebentrost, P., Mohseni, M., & Lloyd, S. (2014). Quantum support vector machine for big data classification. Physical Review Letters, 113(13), 130503.
McClean, J. R., Romero, J., Babbush, R., Aspuru-Guzik, A. (2016). The theory of variational hybrid quantum-classical algorithms. New Journal of Physics, 18(2), 023023.
National Institute of Standards and Technology (NIST). (2021). Post-Quantum Cryptography Standardization.
Vadhan, S. (2018). The Theory of Quantum Computing. Notices of the AMS, 65(2), 203-215.
IBM Quantum. (2019). IBM Q Network Strengthens Research on Traffic Optimization. https://www.research.ibm.com/ibm-q/network/academic-partnerships/case-studies/daimler.shtml
Google AI Blog. (2018). Achieving Quantum Supremacy.
Preskill, J. (2018). Quantum Computing in the NISQ era and beyond. Quantum, 2, 79. Zhong, H. S., et al. (2020). Quantum computational advantage using photons. Science, 370(6523), 1460-1463.
Rieffel, E., & Polak, W. (2011). Quantum Computing: A Gentle Introduction. The MIT Press.
McMahon, D. (2008). Quantum Computing Explained. John Wiley & Sons.
Yanofsky, N. S., & Mannucci, M. A. (2008). Quantum Computing for Computer Scientists. Cambridge University Press.
Erl, T., Mahmood, Z., & Puttini, R. (2013). Cloud Computing: Concepts, Technology & Architecture. Prentice Hall.
Berta, M., et al. (2020). Quantum technologies: Impact on policy, security, and society. Science Robotics, 5(41), eaba4564.
Quantum Cloud Computing: How Does It Fit Into HPC Ecosystem? by H. A. Khadem and K. S. Trivedi (2016).
Quantum-Assisted Cloud Computing by R. Wille and R. Drechsler (2016).
Secure Cloud Computing with Quantum Key Distribution by M. Al Azwari, A. Shahrabi, and K. K. R. Choo (2018).
Quantum Computing for Enhanced Machine Learning by A. Maria, V. Babovic, and S. Pallickara (2017).
Cloud Quantum Computing of an Atomic Nucleus by G. D. Barron et al. (2018).
Quantum Cloud Services for Science and Society by I. L. Chuang, S. J. Herbert, N. M. Linke, et al. (2018).
Quantum Blockchain using Entanglement in Time by G. Karakonstantis, I. Koutsopoulos, and K. G. Saurabh (2019).
Quantum-Safe Key Management for Cloud-Based Systems by A. Pawlowski, M. A. Adnan, and K. K. R. Choo (2019).
Quantum Machine Learning: A Classical Approach by S. Lloyd, M. Mohseni, and P. Rebentrost (2013).
Quantum Machine Learning in Feature Hilbert Spaces by M. Schuld, I. Sinayskiy, and F. Petruccione (2015).
Towards Quantum-Safe Cloud Computing: A Survey by A. Rasoolzadegan, A. S. Ibrahim, and J. Markarian (2018).
Quantum Cloud Computing: A Survey by D. Thapliyal and A. R. Calderbank (2017).
Quantum Machine Learning: A Review by X. Xu, J. Sun, and J. Du (2020).
Quantum Technologies: An Old New Story by R. Ursin et al. (2020).
Quantum Computing and the Ultimate Limits of Computation: The Case for a National Investment by E. Farhi and A. W. Harrow (2016).
Secure Quantum Cloud Computing by Y. Li and Z. Xu (2019).
Quantum Cryptographic Algorithms for Cloud Security by X. Fu et al. (2017).
Quantum Cloud Computing: A New Epoch by L. Lu et al. (2018).
Quantum Computing for Communications: An Overview and Advances by T. Wang and Y. Cai (2018).
Quantum-Assisted Cloud Computing: Is It Feasible by F. Yao et al. (2016).
Quantum Computing in the Cloud with IBM Q Experience by A. Mezzacapo et al. (2019).
Quantum Computing in the Cloud with IBM Q Experience by A. Mezzacapo et al. (2019).
Quantum-Assisted Cloud-Edge Computing for the Internet of Things by L. Wang, Q. Zhu, and D. K. Y. Yau (2019).
Quantum Cloud Computing: Challenges and Opportunities by Z. Shen, et al. (2022).
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.