scholarly journals CUBIT: Capacitive qUantum BIT

2018 ◽  
Author(s):  
Sina Khorasani
Keyword(s):  
Quantum Computing ◽  
Fabrication Process ◽  
Quantum Capacitance ◽  
Two Dimensional ◽  
Quantum Bit ◽  
Quantum Bits ◽  
Dirac Materials

In this letter, it is proposed that cryogenic quantum bits could operate based on the nonlinearity due to the quantum capacitance of two-dimensional Dirac materials, and in particular graphene. The anharmonicity of a typical superconducting quantum bit is calculated and the sensitivity of quantum bit frequency and anharmonicty with respect to temperature are found. Reasonable estimates reveal that a careful fabrication process could reveal the expected properties, thus putting the context of quantum computing hardware into new perspectives.

scholarly journals Sommerfeld enhancement factor in two-dimensional Dirac materials

2021 ◽  
Vol 103 (23) ◽  
Author(s):  
N. V. Leppenen ◽  
L. E. Golub ◽  
E. L. Ivchenko
Keyword(s):  
Enhancement Factor ◽  
Two Dimensional ◽  
Dirac Materials ◽  
Sommerfeld Enhancement

scholarly journals Coulomb effects in the absorbance spectra of two-dimensional Dirac materials

2018 ◽  
Vol 98 (20) ◽  
Author(s):  
Leone Di Mauro Villari ◽  
Ian Galbraith ◽  
Fabio Biancalana
Keyword(s):  
Two Dimensional ◽  
Dirac Materials ◽  
Coulomb Effects ◽  
Absorbance Spectra

scholarly journals Magneto-optical Kerr effect in spin split two-dimensional massive Dirac materials

2D Materials ◽  
2020 ◽  
Vol 7 (2) ◽  
pp. 025011 ◽  
Author(s):  
G Catarina ◽  
N M R Peres ◽  
J Fernández-Rossier
Keyword(s):  
Kerr Effect ◽  
Optical Kerr Effect ◽  
Two Dimensional ◽  
Dirac Materials ◽  
Magneto Optical Kerr Effect

Optimum Synthesis of Rigid Mechanisms Using Real Coded Quantum-Inspired Evolution Algorithm (RQIEA) With Neighborhood Search

2007 ◽  
Author(s):  
Ahmad Smaili ◽  
Mazen Hassanieh ◽  
Bachir Chaaya ◽  
Fawzan Al Fares
Keyword(s):  
Quantum Computing ◽  
Search Algorithm ◽  
Random Search ◽  
Quantum Gates ◽  
Neighborhood Search ◽  
Gradient Search ◽  
Quantum Bits ◽  
Optimum Synthesis ◽  
Evolution Algorithm ◽  
Optimization Schemes

A modified real coded quantum-inspired evolution algorithm (MRQIEA) is herein presented for optimum synthesis of planar rigid body mechanisms (RBMs). The MRQIEA employs elements of quantum computing such as quantum bits, registers, and quantum gates, neighborhood search engine, and gradient search to form a random search algorithm for solution optimization of a wide class of problems. A brief overview of the quantum computing elements and their adaptation to the optimization algorithm is first presented. The algorithm is then adapted to the synthesis problem of RBMs. Finally, the algorithm is demonstrated and compared to other search methods by way of three examples, including two benchmark examples that have been used in the literature to assess the performance of other optimization schemes.

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