Author:
Singh Chauhan Aditya,Singh Ayush,Thakur Raja,Kant Singh Vaibhav
Abstract
Quantum computing stands at the forefront of technological advancement, offering promises of unprecedented computational power and efficiency. Among its myriad applications, quantum algorithms for optimization problems have emerged as a beacon of hope for tackling complex challenges that classical computers struggle to address. This Paper delves into the realm of quantum algorithms tailored for optimization problems, exploring their theoretical foundations, practical implications, and potential transformative impact across diverse domains.
Publisher
International Journal of Innovative Science and Research Technology
Reference21 articles.
1. Farhi, E., Goldstone, J., & Gutmann, S. (2014). A Quantum Approximate Optimization Algorithm. arXiv preprint arXiv:1411.4028.
2. Grover, L. K. (1996). A fast quantum mechanical algorithm for database search. In Proceedings of the twenty-eighth annual ACM symposium on Theory of computing (pp. 212-219).
3. D-Wave Systems Inc. (n.d.). D-Wave Quantum Computing. Retrieved from https://www.dwavesys.com/.
4. Cai, J. M., Pu, H. Y., & Lloyd, S. (2020). Quantum approximate optimization algorithm: Performance, mechanism, and implementation. Review of Modern Physics, 92(2), 025003.
5. Hidary, J. D. (2021). Quantum Computing: An Applied Approach. Springer.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献