Title
Genetic Algorithms and Quantum Computation
Abstract
Recently, researchers have applied genetic algorithms (GAs) to address some problems in quantum computation. Also, there has been some works in the designing of genetic algorithms based on quantum theoretical concepts and techniques. The so called Quantum Evolutionary Programming has two major sub-areas: Quantum Inspired Genetic Algorithms (QIGAs) and Quantum Genetic Algorithms (QGAs). The former adopts qubit chromosomes as representations and employs quantum gates for the search of the best solution. The later tries to solve a key question in this field: what GAs will look like as an implementation on quantum hardware? As we shall see, there is not a complete answer for this question. An important point for QGAs is to build a quantum algorithm that takes advantage of both the GA and quantum computing parallelism as well as true randomness provided by quantum computers. In the first part of this paper we present a survey of the main works in GAs plus quantum computing including also our works in this area. Henceforth, we review some basic concepts in quantum computation and GAs and emphasize their inherent parallelism. Next, we review the application of GAs for learning quantum operators and circuit design. Then, quantum evolutionary programming is considered. Finally, we present our current research in this field and some perspectives.
Year
Venue
Keywords
2004
Clinical Orthopaedics and Related Research
quantum computing,genetic algorithms,evolutionary strategies.,genetic algorithm,quantum computer,circuit design,evolutionary computing,evolutionary programming,evolutionary strategy,quantum algorithm,quantum gate
Field
DocType
Volume
Computer science,Quantum computer,Theoretical computer science,Quantum sort,Quantum algorithm,Quantum cryptography,Quantum information science,Quantum information,Qubit,Quantum network
Journal
cs.NE/0403
Citations 
PageRank 
References 
10
0.72
8
Authors
3
Name
Order
Citations
PageRank
Gilson A. Giraldi19821.93
Renato Portugal25210.01
Ricardo N. Thess3100.72