Abstract
This paper considers the execution of different C++ language program codes based on simple program, functions, class inheritance, recursion and file handling under Quantum Computing Environment using the Quantum++ simulator and the execution of similar C++ language program codes on the traditional computer. The comparison of the results has been presented, analyzed and concluded with. The need, advantages and disadvantages of a Quantum Computing Environment have also been discussed briefly in this paper.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rylander, Bart, Terence Soule, James Foster, and Jim Alves-Foss. 2000. Quantum genetic algorithms, 373.
DiVincenzo, D.P. 1995. Principles of quantum computing. In Proceedings ISSCC ‘95—International Solid-State Circuits Conference, San Francisco, CA, USA, 312–313. https://doi.org/10.1109/isscc.1995.535569.
Narayanan, A. 1999. Quantum computing for beginners. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406), vol. 3. Washington, DC, USA, 1999, 2231–2238. https://doi.org/10.1109/cec.1999.785552.
Jain, S. 2015. Quantum computer architectures: a survey. In 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, 2165–2169.
Kasivajhula, Siddhartha. 2006. Quantum computing: a survey, 249–253. https://doi.org/10.1145/1185448.1185504.
Nielsen, Michael A., and Isaac L. Chuang. 2010. Quantum computation and quantum information, 13. Cambridge University Press. ISBN 978-1-107-00217-3.
Ying, Mingsheng. 2010. Quantum computation, quantum theory and AI. Artificial Intelligence 174: 162–176. https://doi.org/10.1016/j.artint.2009.11.009.
Altenkirch, T., and Grattage J. 2005. A functional quantum programming language. In 20th Annual IEEE Symposium on Logic in Computer Science (LICS’ 05), Chicago, IL, USA, 249–258.
Ankenbrandt, C.A. 1990. An extension to the theory of convergence and a proof of the time complexity of genetic algorithms. In FOGA.
Humble, T. 2018. Consumer applications of quantum computing: a promising approach for secure computation, trusted data storage, and efficient applications. IEEE Consumer Electronics Magazine 7 (6): 8–14.
Combarro, E.F., J. Ranilla, and I.F. Rúa. 2019. A quantum algorithm for the commutativity of finite dimensional algebras. IEEE Access 7: 45554–45562.
McGeoch, C.C., R. Harris, S.P. Reinhardt, and P.I. Bunyk. 2019. Practical annealing-based quantum computing. Computer 52 (6): 38–46.
Gheorghiu, V. 2018. Quantum++: a modern C++ quantum computing library. PLoS One 13 (12): e0208073.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Narsapur, R.R., Arora, R., Shah, M.K., Pattnaik, P.K. (2020). Performance of C++ Language Code in Quantum Computing Environment. In: Swain, D., Pattnaik, P., Gupta, P. (eds) Machine Learning and Information Processing. Advances in Intelligent Systems and Computing, vol 1101. Springer, Singapore. https://doi.org/10.1007/978-981-15-1884-3_46
Download citation
DOI: https://doi.org/10.1007/978-981-15-1884-3_46
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-1883-6
Online ISBN: 978-981-15-1884-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)