2003
DOI: 10.1023/b:aire.0000006605.86111.79
|View full text |Cite
|
Sign up to set email alerts
|

Evolutionary Approach to Quantum and Reversible Circuits Synthesis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
40
0
4

Year Published

2006
2006
2019
2019

Publication Types

Select...
5
3
2

Relationship

1
9

Authors

Journals

citations
Cited by 68 publications
(45 citation statements)
references
References 32 publications
0
40
0
4
Order By: Relevance
“…Table 1 shows comparison of results between the KFLD and the method from [16] and Table 2 compares our KFLD with algorithms from [1], [15] and [25]. The evaluation counts the number of gates used to built the circuit and the quantum costs of the reversible gates are computed using the method used in the contemporary CAD algorithms [11], [12], [15]. Table 1 shows the name of the function benchmark, the number of gates (G) and the quantum cost (C) for the algorithm from [16] and the number of gates and the quantum cost for the KFLD in columns one, two, three, four and five respectively.…”
Section: Resultsmentioning
confidence: 99%
“…Table 1 shows comparison of results between the KFLD and the method from [16] and Table 2 compares our KFLD with algorithms from [1], [15] and [25]. The evaluation counts the number of gates used to built the circuit and the quantum costs of the reversible gates are computed using the method used in the contemporary CAD algorithms [11], [12], [15]. Table 1 shows the name of the function benchmark, the number of gates (G) and the quantum cost (C) for the algorithm from [16] and the number of gates and the quantum cost for the KFLD in columns one, two, three, four and five respectively.…”
Section: Resultsmentioning
confidence: 99%
“…This is one important reason why evolutionary approaches for the design of binary and MV reversible circuits are receiving increasing attention (see e.g. [5,6,13,14]). …”
Section: Abstract-mentioning
confidence: 99%
“…Different from the stricter linear GP schemes in Spector et al (1999a) and Rubinstein (2001), the GP system described here used linear tree structures and was built to achieve more "degrees of freedom" in the construction and evolution of quantum circuits. Lukac and Perkowski (2002) and Lukac et al (2003) proposed a generic genetic algorithm to evolve arbitrary quantum circuit specified by a goal unitary matrix. They also proposed a specific encoding method which encoded quantum circuit as a structured string of quantum gates that can reflect the parallel and sequential framework of quantum circuit.…”
Section: Related Workmentioning
confidence: 99%