MODELAGEM E SIMULACÃO COMPUTACIONAL DE TEORIA QÂNTICA ORCH OR
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2018 |
| Tipo de documento: | Dissertação |
| Idioma: | por |
| Título da fonte: | Biblioteca Digital de Teses e Dissertações da Universidade Franciscana (UFN) |
| Texto Completo: | http://tede.universidadefranciscana.edu.br:8080/handle/UFN-BDTD/266 http://www.tede.universidadefranciscana.edu.br:8080/handle/UFN-BDTD/292 |
Resumo: | The realization of quantum computers has been investigated from the point of view of theoretical and experimental diferent approaches such as electronic spins; trapped ions, nuclear magnetic resonance, etc. A alternative approach is being discussed in the eld of biological quantum computing: a quantum nanomachine of Penrose and Hamero model known as Orch OR (Orchestrated Objective Reduction). The nanomachine is based on the quantum behavior of brain microtubules. Microtubules are structures biological existing inside the nerve cells that form dimers of polarized proteins, called tubulin, with globular shape, which behave as qubits. The behavior of microtubules led to an interesting aspect of the model Orch Or call objective reduction. Essentially, the objective reduction is the idea that quantum systems that isolates the external environment will reduce (or collapsing) because of their intrinsic geometrical characteristics. Understanding the behavior of microtubules may provide us a more accurate view of how it handled the information sent to the brain by electrical impulses through sensory system and how physical consciousness is created. In this work, presents a modeling and simulation for computational quantum of biological nanomachines Penrose and Hamero. More specically, it discusses a computational model for the nanomachine by use of the cellular automata. The simulation of this model is implemented graphically in the functional programming language Haskell. Haskell is a functional language (high level) and pure already has been studied in several papers as an interesting language for modeling and simulation of quantum structures. Through the use of computer simulation can be veried interesting properties the behavior of tubulin, such as conformational changes in series (planar and stationary waves) and conformational change of quantum states (unknown of state value). The model for understanding the point of view of a simple computational microtubular give a basis for future work, based on this model and is intended to develop algorithms for a simulated microtubules in Haskell. This dissertation aims to give subsidies to simulate neural activities more complex future. |
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Vizzotto, Juliana KaizerCPF:93917490030CPF:90059298049Martins, Mirkos Ortiz2018-06-27T18:56:04Zhttp://tede.universidadefranciscana.edu.br:8080/handle/UFN-BDTD/266http://www.tede.universidadefranciscana.edu.br:8080/handle/UFN-BDTD/292The realization of quantum computers has been investigated from the point of view of theoretical and experimental diferent approaches such as electronic spins; trapped ions, nuclear magnetic resonance, etc. A alternative approach is being discussed in the eld of biological quantum computing: a quantum nanomachine of Penrose and Hamero model known as Orch OR (Orchestrated Objective Reduction). The nanomachine is based on the quantum behavior of brain microtubules. Microtubules are structures biological existing inside the nerve cells that form dimers of polarized proteins, called tubulin, with globular shape, which behave as qubits. The behavior of microtubules led to an interesting aspect of the model Orch Or call objective reduction. Essentially, the objective reduction is the idea that quantum systems that isolates the external environment will reduce (or collapsing) because of their intrinsic geometrical characteristics. Understanding the behavior of microtubules may provide us a more accurate view of how it handled the information sent to the brain by electrical impulses through sensory system and how physical consciousness is created. In this work, presents a modeling and simulation for computational quantum of biological nanomachines Penrose and Hamero. More specically, it discusses a computational model for the nanomachine by use of the cellular automata. The simulation of this model is implemented graphically in the functional programming language Haskell. Haskell is a functional language (high level) and pure already has been studied in several papers as an interesting language for modeling and simulation of quantum structures. Through the use of computer simulation can be veried interesting properties the behavior of tubulin, such as conformational changes in series (planar and stationary waves) and conformational change of quantum states (unknown of state value). The model for understanding the point of view of a simple computational microtubular give a basis for future work, based on this model and is intended to develop algorithms for a simulated microtubules in Haskell. This dissertation aims to give subsidies to simulate neural activities more complex future.A realizacão de computadores quânticos vem sendo investigada do ponto de vista teórico e experimental por diferentes abordagens tais como: spins eletrônicos; trapped íons; ressonância magnética nuclear, etc. Uma abordagem alternativa vem sendo discutida no campo da computacão quântica biológica: a nanomáquina quântica de Penrose e Hameroff conhecida como modelo Orch OR (Orchestrated Objective Reduction). A nanomáquina quântica é baseada no comportamento dos microtúbulos cerebrais. Microtúbulos são estruturas biológicas existentes no interior das células e são formadas por dímeros de proteínas polarizadas, chamadas tubulinas, com formato globular, que se comportam como qubits. O comportamento dos microtúbulos deu origem a um aspecto interessante do modelo Orch Or chamado Reducão Objetiva. Essencialmente, a Reducão Objetiva é a idéia que sistemas quânticos mesmo isolados do ambiente externo irão reduzir (ou colapsar) devido a suas características geométricas intrínsecas. A compreensão do comportamento dos microtúbulos pode nos proporcionar uma visão mais apurada de como é manipulada a informacão enviada ao cérebro por impulsos elétricos pelos órgãos sensoriais e como é criada físicamente a consciência. Neste trabalho, apresenta-se uma modelagem e simulacão computacional para a nanomáquina quântica biológica de Penrose e Hameroff. Mais especificamente, discute-se um modelo computacional para a nanomáquina utilizando-se autômatos celulares. A simulacão deste modelo é implementada graficamente na linguagem de programacão funcional Haskell. Haskell é uma linguagem funcional (de alto nível) pura e já vem sendo estudada em diversos trabalhos como uma linguagem interessante para modelagem e simulacão de estruturas quânticas. Através da utilizacão do simulador computacional pode-se verificar propriedades interessantes do comportamento das tubulinas, tais como mudanças conformacionais em série (ondas planares e estacionárias) e mudanças conformacionais quânticas (indeterminacão de estado). A modelagem para um entendimento do ponto de vista computacional do microtúbulo dará base para trabalhos futuros que poderão suportar algoritmos para o simulador de microtúbulos em Haskell. O presente trabalho pretende dar subsídios para simular atividades neurais mais complexas futuramente.Made available in DSpace on 2018-06-27T18:56:04Z (GMT). No. of bitstreams: 2 Mirkos Ortiz Martins.pdf.jpg: 3134 bytes, checksum: a77b80779cd5a0997b52d9af2a75beaa (MD5) Mirkos Ortiz Martins.pdf: 1455800 bytes, checksum: 5c25564f22f553cb1df0b8deedf00039 (MD5)Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorapplication/pdfhttp://tede.universidadefranciscana.edu.br:8080/retrieve/302/Mirkos%20Ortiz%20Martins.pdf.jpgporUniversidade FranciscanaMestrado Acadêmico em NanociênciasUFNBRBiociências e NanomateriaisNanociênciasCNPQ::ENGENHARIASMODELAGEM E SIMULACÃO COMPUTACIONAL DE TEORIA QÂNTICA ORCH ORinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da Universidade Franciscana (UFN)instname:Universidade Franciscana (UFN)instacron:UFNTHUMBNAILMirkos Ortiz Martins.pdf.jpgimage/jpeg3134http://tede.universidadefranciscana.edu.br:8080/bitstream/UFN-BDTD/292/1/Mirkos+Ortiz+Martins.pdf.jpga77b80779cd5a0997b52d9af2a75beaaMD51ORIGINALMirkos Ortiz Martins.pdfapplication/pdf1455800http://tede.universidadefranciscana.edu.br:8080/bitstream/UFN-BDTD/292/2/Mirkos+Ortiz+Martins.pdf5c25564f22f553cb1df0b8deedf00039MD52UFN-BDTD/2922018-06-27 15:56:04.552oai:tede.universidadefranciscana.edu.br:UFN-BDTD/292Biblioteca Digital de Monografiahttp://www.tede.universidadefranciscana.edu.br:8080/PRIhttp://www.tede.universidadefranciscana.edu.br:8080/oai/requestbiblioteca@ufn.edu.bropendoar:http://www.tede.universidadefranciscana.edu.br:8080/oai/request2018-06-27T18:56:04Biblioteca Digital de Teses e Dissertações da Universidade Franciscana (UFN) - Universidade Franciscana (UFN)false |
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MODELAGEM E SIMULACÃO COMPUTACIONAL DE TEORIA QÂNTICA ORCH OR |
| title |
MODELAGEM E SIMULACÃO COMPUTACIONAL DE TEORIA QÂNTICA ORCH OR |
| spellingShingle |
MODELAGEM E SIMULACÃO COMPUTACIONAL DE TEORIA QÂNTICA ORCH OR Martins, Mirkos Ortiz Nanociências CNPQ::ENGENHARIAS |
| title_short |
MODELAGEM E SIMULACÃO COMPUTACIONAL DE TEORIA QÂNTICA ORCH OR |
| title_full |
MODELAGEM E SIMULACÃO COMPUTACIONAL DE TEORIA QÂNTICA ORCH OR |
| title_fullStr |
MODELAGEM E SIMULACÃO COMPUTACIONAL DE TEORIA QÂNTICA ORCH OR |
| title_full_unstemmed |
MODELAGEM E SIMULACÃO COMPUTACIONAL DE TEORIA QÂNTICA ORCH OR |
| title_sort |
MODELAGEM E SIMULACÃO COMPUTACIONAL DE TEORIA QÂNTICA ORCH OR |
| author |
Martins, Mirkos Ortiz |
| author_facet |
Martins, Mirkos Ortiz |
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author |
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Vizzotto, Juliana Kaizer |
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CPF:93917490030 |
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CPF:90059298049 |
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Martins, Mirkos Ortiz |
| contributor_str_mv |
Vizzotto, Juliana Kaizer |
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Nanociências |
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Nanociências CNPQ::ENGENHARIAS |
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CNPQ::ENGENHARIAS |
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The realization of quantum computers has been investigated from the point of view of theoretical and experimental diferent approaches such as electronic spins; trapped ions, nuclear magnetic resonance, etc. A alternative approach is being discussed in the eld of biological quantum computing: a quantum nanomachine of Penrose and Hamero model known as Orch OR (Orchestrated Objective Reduction). The nanomachine is based on the quantum behavior of brain microtubules. Microtubules are structures biological existing inside the nerve cells that form dimers of polarized proteins, called tubulin, with globular shape, which behave as qubits. The behavior of microtubules led to an interesting aspect of the model Orch Or call objective reduction. Essentially, the objective reduction is the idea that quantum systems that isolates the external environment will reduce (or collapsing) because of their intrinsic geometrical characteristics. Understanding the behavior of microtubules may provide us a more accurate view of how it handled the information sent to the brain by electrical impulses through sensory system and how physical consciousness is created. In this work, presents a modeling and simulation for computational quantum of biological nanomachines Penrose and Hamero. More specically, it discusses a computational model for the nanomachine by use of the cellular automata. The simulation of this model is implemented graphically in the functional programming language Haskell. Haskell is a functional language (high level) and pure already has been studied in several papers as an interesting language for modeling and simulation of quantum structures. Through the use of computer simulation can be veried interesting properties the behavior of tubulin, such as conformational changes in series (planar and stationary waves) and conformational change of quantum states (unknown of state value). The model for understanding the point of view of a simple computational microtubular give a basis for future work, based on this model and is intended to develop algorithms for a simulated microtubules in Haskell. This dissertation aims to give subsidies to simulate neural activities more complex future. |
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