DocumentCode :
2151916
Title :
A novel optimization methodology based on Genetic Algorithm for gain-boosted OPAMP
Author :
Xiaomu Wang ; Zhaohua Zhang ; Litian Liu ; Tianling Ren
Author_Institution :
Inst. of Microelectron., Tsinghua Univ., Beijing, China
fYear :
2008
fDate :
20-23 Oct. 2008
Firstpage :
1745
Lastpage :
1748
Abstract :
Toffoli gate is an especially important case of the quantum gates. In this paper, we show how to construct Toffoli gates using several additional (ancilla) photons, linear optical instruments and cross-Kerr nonlinearities. Then they are expanded to implement Extended Toffoli gates (ETOF). Our work shows only one n-IPC (w-input parity check) gate plus at most 2 m CNOT or NCNOT gates can implement arbitrary ETOF (n, m), indicating the feasibility and advantage of modularizing quantum gates with photons.
Keywords :
optical instruments; photons; quantum gates; ancilla photons; cross-Kerr nonlinearities; extended Toffoli gate implementation; linear optical instruments; parity check gates; quantum gates; Detectors; Genetic algorithms; Instruments; Logic; Matrix decomposition; Optimization methods; Parity check codes; Physics; Polarization; Quantum entanglement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Solid-State and Integrated-Circuit Technology, 2008. ICSICT 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2185-5
Electronic_ISBN :
978-1-4244-2186-2
Type :
conf
DOI :
10.1109/ICSICT.2008.4734891
Filename :
4734891
Link To Document :
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