DocumentCode :
2026624
Title :
Optimization of reversible circuits using triple-gate templates at quantum gate level
Author :
Arpita, Pyreddy Mary ; Datta, Kamalika ; Vemula, Rohith ; Sengupta, Indranil
Author_Institution :
Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Kharagpur, Kharagpur, India
fYear :
2015
fDate :
29-30 Jan. 2015
Firstpage :
120
Lastpage :
124
Abstract :
The paper presents an approach for optimizing a reversible netlist consisting of multiple-control Toffoli (MCT) gates with the objective of reducing quantum cost. The MCT gates are first decomposed into smaller gates with up to three control lines, and then a template matching method is applied on the netlist for optimization. The templates are constructed by considering all possible 3-gate sequences with up to four lines. This work constitutes an extension of a previous work by Dueck et al., where 2-gate sequences were considered in the templates. The input gate netlists are generated from the reversible benchmarks available in RevLib, followed by Barenco decomposition to produce Toffoli gates with at most three control connections. The proposed approach is applied on these netlists, and the final quantum cost calculated. Experimental results on standard benchmarks show that the method can lead to reductions in quantum cost.
Keywords :
cost reduction; decomposition; logic circuits; logic gates; optimisation; 2-gate sequence; Barenco decomposition; MCT gate; multiple-control Toffoli gate; optimization; quantum cost reduction; quantum gate level; reversible circuit; template matching method; triple-gate template; Benchmark testing; Computer science; Design automation; Libraries; Logic gates; Optimization; Quantum computing; Reversible circuits; optimization; quantum cost; template matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Design, Computer Networks & Automated Verification (EDCAV), 2015 International Conference on
Conference_Location :
Shillong
Print_ISBN :
978-1-4799-6207-5
Type :
conf
DOI :
10.1109/EDCAV.2015.7060551
Filename :
7060551
Link To Document :
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