scholarly journals Semiclassical and quantum behavior of the mixmaster model in the polymer approach

2013 ◽  
Vol 88 (10) ◽  
Author(s):  
Orchidea Maria Lecian ◽  
Giovanni Montani ◽  
Riccardo Moriconi
Keyword(s):  
Quantum Behavior ◽  
Mixmaster Model

scholarly journals Helium Isotopes Quantum Sieving through Graphtriyne Membranes

Nanomaterials ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 73
Author(s):  
Marta I. Hernández ◽  
Massimiliano Bartolomei ◽  
José Campos-Martínez
Keyword(s):  
Low Temperatures ◽  
Quantum Tunneling ◽  
Transition State Theory ◽  
Selective Adsorption ◽  
State Theory ◽  
Helium Isotopes ◽  
Quantum Calculations ◽  
Approximate Methods ◽  
Helium Atoms ◽  
Quantum Behavior

We report accurate quantum calculations of the sieving of Helium atoms by two-dimensional (2D) graphtriyne layers with a new interaction potential. Thermal rate constants and permeances in an ample temperature range are computed and compared for both Helium isotopes. With a pore larger than graphdiyne, the most common member of the γ-graphyne family, it could be expected that the appearance of quantum effects were more limited. We find, however, a strong quantum behavior that can be attributed to the presence of selective adsorption resonances, with a pronounced effect in the low temperature regime. This effect leads to the appearance of some selectivity at very low temperatures and the possibility for the heavier isotope to cross the membrane more efficiently than the lighter, contrarily to what happened with graphdiyne membranes, where the sieving at low energy is predominantly ruled by quantum tunneling. The use of more approximate methods could be not advisable in these situations and prototypical transition state theory treatments might lead to large errors.

A Quantum-Behaved Particle Swarm Algorithm Combined with Chaotic Mutation

2012 ◽  
Vol 605-607 ◽  
pp. 2442-2446
Author(s):  
Xin Ran Li ◽  
Yan Xia Jin
Keyword(s):  
Particle Swarm ◽  
Pso Algorithm ◽  
Particle Swarm Algorithm ◽  
Local Optimum ◽  
Convergence Problem ◽  
Early Maturity ◽  
Classical Function ◽  
Function Test ◽  
Quantum Behavior ◽  
Swarm Algorithm

The article puts forward an improved PSO algorithm based on the quantum behavior——CMQPSO algorithm to improve premature convergence problem in particle swarm algorithm. The new algorithm first adopts Tent mapping initialization of particle swarm, searches each particle chaos, and strengthens the diversity of searching. Secondly, a method of effective judgment of early stagnation is embedded in the algorithm. Once the early maturity is retrieved, the algorithm mutates particles to jump out of the local optimum particle according to the structure mutation so as to reduce invalid iteration. The calculation of classical function test shows that the improved algorithm is superior to classical PSO algorithm and quantum-behaved PSO algorithm.

scholarly journals Quantum behavior of a dc SQUID phase qubit

2008 ◽  
Vol 77 (21) ◽  
Author(s):  
Kaushik Mitra ◽  
F. W. Strauch ◽  
C. J. Lobb ◽  
J. R. Anderson ◽  
F. C. Wellstood ◽  
...  
Keyword(s):  
Quantum Behavior ◽  
Phase Qubit

scholarly journals Quantum behavior of the “Little Sibling” of the Big Rip induced by a three-form field

2018 ◽  
Vol 2018 (09) ◽  
pp. 031-031 ◽  
Author(s):  
Mariam Bouhmadi-López ◽  
David Brizuela ◽  
Iñaki Garay
Keyword(s):  
Big Rip ◽  
Quantum Behavior ◽  
Form Field
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