Quantum Algorithm
Mostrando 1-12 de 24 artigos, teses e dissertações.
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1. Classical simulation of Grovers quantum algorithm
Abstract This paper in a didactic way, presents an introduction to quantum computing where some quantum formalisms are analyzed to finally address Grover's algorithm. It is widely known that this algorithm is one of the key algorithms in quantum computing, being its ability to explode successfully the superposition principle one of the reasons. In addition,
Rev. Bras. Ensino Fís.. Publicado em: 11/11/2019
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2. Quantum Particle Swarm Optimization for Synthesis of Non-uniformly Spaced Linear Arrays with Broadband Frequency Invariant Pattern
Abstract This paper describes a method using Quantum Particle Swarm Optimization to obtain a broadband frequency invariant pattern for synthesis of nonuniformly spaced linear array of isotropic antennas. Two cases related to this work using QPSO have been studied, namely, in the first case, the generated frequency invariant far-field pattern is broadside in
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2017-09
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3. An Efficient Quantum Algorithm for the Hidden Subgroup Problem over some Non-Abelian Groups
RESUMO O problema do subgrupo oculto (PSO) tem um papel importante na computação quântica pois muitos algoritmos quânticos que são exponencialmente mais rápidos que seus equivalentes clássicos são casos especiais do PSO. Neste artigo nós mostramos a existência de um novo algoritmo quântico eficiente para o PSO sobre grupos da forma Z N ⋊ Z
TEMA (São Carlos). Publicado em: 2017-08
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4. QUANTUM INSPIRED PARTICLE SWARM COMBINED WITH LIN-KERNIGHAN-HELSGAUN METHOD TO THE TRAVELING SALESMAN PROBLEM
ABSTRACT The Traveling Salesman Problem (TSP) is one of the most well-known and studied problems of Operations Research field, more specifically, in the Combinatorial Optimization field. As the TSP is a NP (Non-Deterministic Polynomial time)-hard problem, there are several heuristic methods which have been proposed for the past decades in the attempt to solv
Pesqui. Oper.. Publicado em: 2015-12
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5. Prediction of monomer reactivity in radical copolymerizations from transition state quantum chemical descriptors
In comparison with the Q-e scheme, the Revised Patterns Scheme: the U, V Version (the U-V scheme) has greatly improved both its accessibility and its accuracy in interpreting and predicting the reactivity of a monomer in free-radical copolymerizations. Quantitative structure-activity relationship (QSAR) models were developed to predict the reactivity paramet
Polímeros. Publicado em: 20/08/2013
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6. Algoritmo de escalonamento DRR com quantum adaptativo para o tráfego downlink de redes IEEE 802.16j / DRR adaptive quantum scheduling algorithm for downlink traffic of IEEE 802.16j networks
IEEE 802.16j networks provide, through the Relay Station (RS), improvements with regard to previous specifications of WiMAX in terms of increased coverage area, reduction of deployment costs due to low cost of RS compared to a Base Station (BS) and system average throughput increase. Its main purpose is to meet demands for wireless broadband access at lower
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 05/10/2012
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7. Proteção de estados coerentes em pontos quânticos acoplados
The theoretical and experimental developments that took place in quantum computing and quantum information in recent decades make the realization of a quantum computer more and more feasible. However, the necessary control over the dynamics of quantum states of the system, used to implement this computer, is strongly limited by decoherence generated by the i
Publicado em: 2011
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8. Análise,Simulações e Aplicações Algorítmicas de Caminhadas Quânticas / Analysis,Simulations and Algorithmic Applications of Quantum Walks
Quantum computing is a model of computation based on the laws of quantum mechanics, which can be used to develop faster algorithms. The development of efficient quantum algorithms, however, is a highly challenging task. A recent successful approach is the use of quantum walks. In this work, we have studied the quantum walk on the hypercube, obtaining the exa
Publicado em: 2010
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9. QUANTUM-INSPIRED EVOLUCIONARY ALGORITHM WITH MIXED REPRESENTATION APPLIED TO NEURO-EVOLUTION / ALGORITMO EVOLUCIONÁRIO COM INSPIRAÇÃO QUÂNTICA E REPRESENTAÇÃO MISTA APLICADO A NEUROEVOLUÇÃO
Esta dissertação objetivará a unificação de duas metodologias de algoritmos evolutivos consagradas para tratamento de problemas ou do tipo combinatórios, ou do tipo numéricos, num único algoritmo com representação mista. Trata-se de um algoritmo evolutivo inspirado na física quântica com representação mista binário-real do espaço de soluçõe
Publicado em: 2010
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10. Semidefinite programming applied to quantum state discrimination / Discriminação de estados quanticos via programação semidefinida
In this work, we propose a new algorithm to perform the optimal discrimination of N non-orthogonal pure quantum states. This algorithm obtains the best set of POVM measurements for the problem, through the extension of the Hilbert space of N to 2N-1 dimensions. The algorithm is based on semidefinite programming and on the solution of linear systems. The algo
Publicado em: 2009
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11. Development of strongly modulated pulses for quantum information processing via Nuclear Magnetic Resonance / Utilização de pulsos de radiofrequência fortemente modulados no processamento de informação quântica via ressonância magnética nuclear
This dissertation presents the development and use of radiofrequency pulses simultaneously modulated in frequency, amplitude and phase (Strongly Modulated Pulses, SMP) for creating initial states and executing logical operations used as building blocks for Quantum Information Processing via Nuclear Magnetic Resonance (NMR-QIP). The experimental implementatio
Publicado em: 2009
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12. SIMULAÇÃO E PROJETO DE CÉLULAS SOLARES COM POÇOS QUÂNTICOS DE GAAS/ALGAAS AUXILIADO POR ALGORITMOS GENÉTICOS / SIMULATION AND DESIGN OF GAAS/ALGAAS QUANTUM WELL SOLAR CELLS AIDED BY GENETIC ALGORITHM
A energia é assunto estratégico para a grande maioria dos países e indústrias no mundo. O consumo atual energético é de 138,32 TWh por ano e é previsto um aumento de 44% até o ano de 2030 o que demonstra um mercado em expansão. Porém, a sociedade atual exige soluções energéticas que causem o menor impacto ambiental possível, colocando em dúvid
Publicado em: 2009