1D@0D hybrid dimensional heterojunction-based photonics logical gate and isolator

2020 ◽  
Vol 19 ◽  
pp. 100589 ◽  
Author(s):  
Leiming Wu ◽  
Ye Zhang ◽  
Xixi Yuan ◽  
Feng Zhang ◽  
Weichun Huang ◽  
...  
Keyword(s):  
Logical Gate

Performance Analysis of All-Optical Logical Gate Using Artificial Neural Network

2021 ◽  
pp. 115029
Author(s):  
Samaneh Hamedi ◽  
Hamed Dehdashti Jahromi
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Performance Analysis ◽  
All Optical ◽  
Artificial Neural ◽  
Logical Gate

IMPLEMENTING AN n-QUBIT FREDKIN GATE WITH SUPERCONDUCTING QUANTUM-INTERFERENCE DEVICES IN CAVITY QED

2011 ◽  
Vol 25 (21) ◽  
pp. 2915-2924 ◽  
Author(s):  
ANSHOU ZHENG ◽  
YONGJIN CHENG ◽  
JIBIN LIU ◽  
XICHENG WANG ◽  
YUAN ZHENG
Keyword(s):  
Quantum Interference ◽  
Cavity Qed ◽  
Vacuum State ◽  
Superconducting Quantum Interference Device ◽  
Alternative Scheme ◽  
Superconducting Quantum Interference Devices ◽  
Superconducting Quantum Interference ◽  
Fredkin Gate ◽  
Logical Gate

An alternative scheme is proposed in this paper to realize an n-qubit Fredkin gate with superconducting quantum-interference device (SQUID) in cavity QED. The multiqubit logical gate is essentially accomplished by a sequence of operations on only two SQUIDs in a large-detuned cavity. In the scheme, the two logical states of a qubit are presented by the two lowest states of a SQUID and the cavity is always in vacuum state so that the limit on the cavity is not serious.

Mathematical model of optoelectronic “EX-OR” logical gate

2003 ◽  
Vol 103 (1) ◽  
pp. 88-93 ◽  
Author(s):  
Z Porada ◽  
E Schabowska-Osiowska
Keyword(s):  
Mathematical Model ◽  
Logical Gate

scholarly journals 3O1100 Construction and emergent solution of amoebic logical gate

2002 ◽  
Vol 42 (supplement2) ◽  
pp. S201
Author(s):  
S. Tsuda ◽  
Y. Gunji
Keyword(s):  
Logical Gate

Speed Geometric Quantum Logical Gate Based on Double-Hamiltonian Evolution under Large-Detuning Cavity QED Model

2010 ◽  
Vol 54 (4) ◽  
pp. 672-674
Author(s):  
Chen Chang-Yong ◽  
Liu Zong-Liang ◽  
Kang Shuai ◽  
Li Shao-Hua
Keyword(s):  
Cavity Qed ◽  
Hamiltonian Evolution ◽  
Logical Gate

Synthesis and characterization of copolycarbonates having azobenzene units in the main chain as an active group for optical logic gate devices

2016 ◽  
Vol 7 (41) ◽  
pp. 6318-6329 ◽  
Author(s):  
Placido G. Mineo ◽  
Antonio Rescifina ◽  
Antonio Abbadessa ◽  
Roberto Rapisardi ◽  
Andrea A. Scamporrino ◽  
...  
Keyword(s):  
Solid State ◽  
Main Chain ◽  
Logic Gate ◽  
Fluorescence Emission ◽  
Synthesis And Characterization ◽  
Optical Logic ◽  
Td Dft ◽  
Optical Logic Gate ◽  
Logical Gate

These copolymers, suitable as optical logical gate, show a reversible photoisomerization, also in solid state. An unexpected fluorescence emission was observed and rationalized by means of an in silico TD-DFT approach.

scholarly journals On construction of quantum logical gate based on ESR

2013 ◽  
Vol 1(30) ◽  
pp. 297-304
Author(s):  
Kenichiro Mayuzumi ◽  
Kenichiro Mayuzumi ◽  
Нобoрy Ватанабе ◽  
Noboru Watanabe ◽  
Игорь Васильевич Волович ◽  
...  
Keyword(s):  
Logical Gate

A performance study of a logical gate using PPM optical pulse modulation for TDM systems

2007 ◽  
Vol 275 (2) ◽  
pp. 476-485 ◽  
Author(s):  
C.S. Sobrinho ◽  
C.S.N. Rios ◽  
S.P. Marciano ◽  
G.F. Guimarães ◽  
J.C. Sales ◽  
...  
Keyword(s):  
Optical Pulse ◽  
Performance Study ◽  
Pulse Modulation ◽  
Logical Gate ◽  
A Performance

scholarly journals Hamming neural network application with FPGA device

2021 ◽  
Vol 10 (1) ◽  
pp. 37
Author(s):  
Liqaa Saadi Mezher
Keyword(s):  
Neural Network ◽  
Pure Line ◽  
Neural System ◽  
Binary Number ◽  
Reproduction Strategies ◽  
Line Work ◽  
System Calculation ◽  
Subsequent Layer ◽  
Positive Line ◽  
Logical Gate

The Hamming neural network is a kind of counterfeit neural system that substance of two kinds of layers (feed forward layers and repetitive layer). In this study, two pattern entries are utilization in the binary number. In the first layer, two nerves were utilization as the pure line work. In the subsequent layer, three nerves and a positive line work were utilization. The Hamming Neural system calculation was also implemented in three reproduction strategies (logical gate technique, programming program encryption strategy and momentary square chart technique). In this study in programming of VHDL and FPGA machine was utilization.

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