The Future of Parallel Computation

作者: Selim G. Akl , Marius Nagy

DOI: 10.1007/978-1-84882-409-6_15

关键词: Data scienceQuantum algorithmClass (computer programming)Computational modelTheoretical computer scienceTheoretical researchQuantum information processingComputer scienceProcess (engineering)

摘要: As any other scientific discipline, computing science is undergoing a continuous process of transformations and innovations driven by theoretical research technological advancements. Inspired physical biological phenomena occurring in nature, new computational models are proposed, with the potential to greatly increase efficiency processes. Another direction development pertains characteristics problems tackled science. With increasingly ubiquitous pervasive nature computers modern society, class applications has address continuously expanding.

参考文章(57)
Selim G. Akl, Marius Nagy, Sean Kershaw, KEY DISTRIBUTION BASED ON QUANTUM FOURIER TRANSFORM international conference on security and cryptography. pp. 263- 269 ,(2008)
Gheorghe Paun, Arto Salomaa, Grzegorz Rozenberg, DNA Computing: New Computing Paradigms ,(1998)
Andrew Adamatzky, Tetsuya Asai, Benjamin De Lacy Costello, Reaction-diffusion computers ,(2005)
C. S. Calude, John L. Casti, M. J. Dinneen, Unconventional Models of Computation Springer. ,(1998)
Eleanor Rieffel, Wolfgang Polak, An introduction to quantum computing for non-physicists ACM Computing Surveys. ,vol. 32, pp. 300- 335 ,(2000) , 10.1145/367701.367709
Gheorghe Păun, P systems with active membranes: attacking NP-complete problems Journal of Automata, Languages and Combinatorics. ,vol. 6, pp. 75- 90 ,(2001)
D. Coppersmith, An approximate Fourier transform useful in quantum factoring arXiv: Quantum Physics. ,(2002)
Isaac L. Chuang, Michael A. Nielsen, Quantum Computation and Quantum Information ,(2000)
Paul Adrien Maurice Dirac, The Principles of Quantum Mechanics ,(1930)