Abstract | ||
---|---|---|
The superior performance of quantum computers in some problems lies in the direct use of quantum mechanics phenomena. This ability has originated the quantum-inspired evolutionary algorithms (QIEAs), which are classical algorithms (for classical computers) that exploit quantum mechanics principles to improve their performance. Several proposed QIEAs are able to outperform their traditional counter... |
Year | DOI | Venue |
---|---|---|
2013 | 10.1093/comjnl/bxs108 | The Computer Journal |
Keywords | Field | DocType |
evolutionary computation,genetic programming,quantum-inspired algorithms,symbolic regression,binary classification | Quantum,Computer science,Inductive programming,Genetic programming,Theoretical computer science,Genetic representation,Linear genetic programming | Journal |
Volume | Issue | ISSN |
56 | 9 | 0010-4620 |
Citations | PageRank | References |
5 | 0.69 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Douglas Mota Dias | 1 | 24 | 7.18 |
Marco Aurélio Cavalcanti Pacheco | 2 | 143 | 22.29 |