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Membrane computing meets physics

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Nana Mova

on 10 February 2016

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Transcript of Membrane computing meets physics


Learn about membrane computing

Apply P-systems to physics
Motivation
Membrane computing meets physics
(first date)

Work with collectivities -max parllelism


Visualize a complex experiment using simple rules
Objectives
Probabilistic rules in quantum physics

Cell-like

P-lingua
Introduction
Stern-Gerlach
a = initial state
d = spin down
u = spin up
Implementation
Experimental validation

Simplification and easy implementation

Practical applications: light
Results
M. Arazo, M.Barroso, O. De la Torre, L. Moreno, A. Ribes, P. Ribes, A. Ventura
2 = first Stern Gerlach |+>
3 = first Stern Gerlach |- >
1 = initial state and 2nd S- G
4 = final state
Implementation
a= Uranium (U-238)
b= Thorium (Th-234)
c= Protactinium (Pa-234)
d= Uranium (U-234)
e= Thorium (Th-230)
f= Radium (Ra-226)
g= Radon (Rn-222)
h= Polonium (Po-218)
v= Lead (Pb-214)
j= Astatine (At-218)
k= Bismuth (Bi-214)



l= Radon (Rn-218)
m= Polonium (Po-214)
n= Thallium (Tl-210)
o= Astatine (At-214)
p= Lead (Pb-210)
q= Bismuth (Bi-210)
r= Polonium (Po-210)
s= Thallium (Tl-206)
t= Lead (Pb-206)
y = electronic antineutrino
z= alpha particle
x= electron
The Uranium-238 Decay Chain
Results
Difficulties implementing time

Similitudes with particle physics

Collectivities
Conclusions
Utility of MC

Reaching expected results through the simulations performed
Further research
Interactions in quantum world

Applications in quantum computing (cryptography)
THANKS!
David Orellana
Rudolf Freund
Miguel Ángel Gutierrez
Luis Felipe Macías Ramos

Brainstorming attendees

Ricardo Graciani
Stern-Gerlach model code
Full transcript