Parameter optimization of an electron ballistic switch in a quantum network model

2019 ◽  
Vol 18 (3) ◽  
pp. 1017-1024
Author(s):  
D. E. Tsurikov ◽  
A. M. Yafyasov
Keyword(s):  
Network Model ◽  
Parameter Optimization ◽  
Quantum Network ◽  
Quantum Network Model

scholarly journals Calculation of Electron Transport in Branched Semiconductor Nanostructures Using Quantum Network Model

2021 ◽  
Author(s):  
Davyd Tsurikov
Keyword(s):  
Electron Transport ◽  
Network Model ◽  
Semiconductor Nanostructures ◽  
Quantum Network ◽  
Electrical Currents ◽  
S Matrix ◽  
Quantum Network Model ◽  
Dimensional Electron Gas ◽  
Tunnel Effects ◽  
Network Junction

Abstract Electron transport in branched semiconductor nanostructures provides many possibilities for creating fundamentally new devices. We solve the problem of its calculation using a quantum network model. The proposed scheme consists of three computational parts: S-matrix of the network junction, S-matrix of the network in terms of its junctions’ S-matrices, electric currents through the network based on its S-matrix. To calculate the S-matrix of the network junction, we propose scattering boundary conditions in a clear integro-differential form. As an alternative, we also consider the Dirichlet-to-Neumann and Neumannto- Dirichlet map methods. To calculate the S-matrix of the network in terms of its junctions’ S-matrices, we obtain a network combining formula. We find electrical currents through the network in the framework of the Landauer– B¨uttiker formalism. Everywhere for calculations, we use extended scattering matrices, which allows taking into account correctly the contribution of tunnel effects between junctions. We demonstrate the proposed calculation scheme by modeling nanostructure based on two-dimensional electron gas. For this purpose we offer a model of a network formed by smooth junctions with one, two and three adjacent branches. We calculate the electrical properties of such a network (by the example of GaAs), formed by four junctions, depending on the temperature.

Efficient entanglement channel construction schemes for a theoretical quantum network model with d-level system

2011 ◽  
Vol 11 (6) ◽  
pp. 1715-1739 ◽  
Author(s):  
Ming-Ming Wang ◽  
Xiu-Bo Chen ◽  
Shou-Shan Luo ◽  
Yi-Xian Yang
Keyword(s):  
Network Model ◽  
Quantum Network ◽  
Level System ◽  
Quantum Network Model

THE PARITY GATE: FROM QUANTUM NETWORKS TO ENTANGLEMENT GENERATION

2007 ◽  
Vol 05 (01n02) ◽  
pp. 3-7 ◽  
Author(s):  
RADU IONICIOIU
Keyword(s):  
Quantum Computing ◽  
Network Model ◽  
Quantum Network ◽  
Quantum Networks ◽  
Entanglement Generation ◽  
Simple Quantum ◽  
Parity Gate ◽  
Linear Elements ◽  
Quantum Network Model ◽  
Parity Measurement

It has been shown recently that parity measurement is an efficient entangler for fermions and hence is a universal resource for fermionic quantum computing with linear elements. In this article, we investigate several properties of the parity P-gate. We construct a simple quantum network model for the P-gate and derive gate identities for it. Finally, we examine entanglement generation using parity measurements.

Parameter Optimization of High Deposition Rate Laser Cladding Based on the Response Surface Method and Genetic Neural Network Model

2021 ◽  
Vol 48 (6) ◽  
pp. 0602112
Author(s):  
庞祎帆 Pang Yifan ◽  
傅戈雁 Fu Geyan ◽  
王明雨 Wang Mingyu ◽  
龚燕琪 Gong Yanqi ◽  
余司琪 Yu Siqi ◽  
...  
Keyword(s):  
Neural Network ◽  
Response Surface ◽  
Response Surface Method ◽  
Deposition Rate ◽  
Network Model ◽  
Parameter Optimization ◽  
Neural Network Model ◽  
High Deposition Rate ◽  
Surface Method ◽  
Genetic Neural Network

QUANTUM NETWORK SIMULATIONS OF HIGH Tc CERAMIC SUPERCONDUCTORS

1988 ◽  
Vol 02 (06) ◽  
pp. 1399-1405 ◽  
Author(s):  
MARK JEFFERY ◽  
CHARLES GREEN ◽  
SOMDEV TYAGI ◽  
R. GILMORE
Keyword(s):  
Quantum Network ◽  
High Tc ◽  
One Dimensional ◽  
Ceramic Superconductors ◽  
Weak Magnetic Fields ◽  
Weakly Coupled ◽  
S Matrix ◽  
Network Simulations ◽  
Quantum Network Model ◽  
Absorption Measurements

Microwave absorption measurements of the high T c ceramic superconductors reveal reproducible features in weak magnetic fields. These features are qualitatively explained by a quantum network model of these superconducting oxides. The ceramic superconductors are modeled as a set of one-dimensional wires weakly coupled at random nodes. The magnetoconductance, magnetization and susceptibility are computed from the network S-matrix.

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