Simulación clásica de un algoritmo cuántico

Classical computing there are multiple algorithms to efficiently locate a certain element within a disorganized database; however, quantum computing can be applied more assertively in the face of problems in which it is complicated to verify a solution and at the same time to test multiple and possible solutions. Therefore, this article presents an introduction to Quantum Computing, developing some concepts of quantum formalism, and then approach Grover's algorithm which exploits the principle of superposition to the maximum. Finally, a classic simulation of this algorithm is performed, and the results obtained are compared with classical algorithms such as sequential search and binary search method. A 95% is obtained as a result of greater effectiveness in times -when solving the same search-, revealing the potential advantages of quantum computing.En la computación clásica existen múltiples algoritmos para localizar de manera eficiente un determinado elemento dentro de una base de datos desorganizada; sin embargo, la computación cuántica puede aplicarse de manera más asertiva frente a tales problemas cuando es complejo verificar una solución y a la vez probar múltiples y posibles soluciones. Por lo anterior, en este artículo se presenta una introducción a la Computación Cuántica -desarrollando algunos conceptos del formalismo cuántico-, y luego se aborda el algoritmo de Grover el cual explota al máximo el principio de superposición. Finalmente se realiza una simulación clásica de dicho algoritmo, y los resultados obtenidos se comparan con otros algoritmos clásicos como el método de búsqueda lineal y búsqueda binaria. Se obtiene como resultado un %95 de mayor efectividad en tiempos -a la hora de resolver la misma búsqueda- logrando poner de manifiesto las ventajas potenciales de la computación cuántica

Noise-based information processing: Noise-based logic and computing: what do we have so far?

We briefly introduce noise-based logic. After describing the main motivations we outline classical, instantaneous (squeezed and non-squeezed), continuum, spike and random-telegraph-signal based schemes with applications such as circuits that emulate the brain functioning and string verification via a slow communication channel.Comment: Invited talk at the 21st International Conference on Noise and Fluctuations, Toronto, Canada, June 12-16, 201

Evolutionary Computation in Coded Communications: an Implementation of Viterbi Algorithm

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Fast quantum search algorithm modelling on conventional computers: Information analysis of termination problem

The simplest technique for simulating a quantum algorithm - QA described based on the direct matrix representation of the quantum operators. Using this approach, it is relatively simple to simulate the operation of a QA and to perform fidelity analysis. A more efficient fast QA simulation technique is based on computing all or part of the operator matrices on an as needed current computational basis. Using this technique, it is possible to avoid storing all or part of the operator matrices. The compute on demand approach benefits from a study of the quantum operators, and their structure so that the matrix elements can be computed more efficiently. Effective simulation of Grover quantum search algorithm as example on computer with classical architecture is considered

What Business Managers Should Know About Quantum Computing?

Business management requires rapid reactions to the changes of business environment effectively. Given quantum computing’s game-changing power will bring huge transformation, therefore managers should be aware of how to take the advantage of quantum computing and recognize its potential impacts to the business world. In fact, quantum computing will deliver exponential advantages for various problems, such as factoring very large numbers within very short time, therefore it has dramatic impacts on existing business issues, such as cybersecurity practice, business optimization, investment decision making, search from unstructured data, etc. However, although the topic is emerging, only very limited studies have been conducted with specific focus on the potential impacts of quantum computing on business management. Accordingly, this study was conducted to fill this knowledge gap. In this study, we began with analyzing quantum related investment markets, trends in scholarly publication and keyword search on the internet about quantum computing. In addition, we provided an introduction on what is quantum computing and discussed related quantum algorithms. Finally, we summarized four major potential applications of quantum computing in business management. Hopefully this paper can serve as a reference for researchers, industrial participators and policy makers engaged in future research or practical applications on related topics

Analyze business context data in developing economies using quantum computing

Quantum computing is an advancing area of computing sciences and provides a new base of development for many futuristic technologies discussions on how it can help developing economies will further help developed economies in technology transfer and economic development initiatives related to Research and development within developing countries thus providing a new means of foreign direct investment(FDI) and business innovation for the majority of the globe that lacks infrastructure economic resources required for growth in the technology landscape and cyberinfrastructure for growth in computing applications. Discussion of which areas of support quantum computing can help will further assist developing economies in implementing it for growth opportunities for local systems and businesses

Applying quantum hardware to non-scientific problems: Grover’s algorithm and rule-based algorithmic music composition

© 2019, Old City Publishing. All rights reserved. Of all novel computing methods, quantum computation (QC) is currently the most likely to move from the realm of the unconventional into the conventional. As a result some initial work has been done on applications of QC outside of science: for example music. The small amount of arts research done in hardware or with actual physical systems has not utilized any of the advantages of quantum computation (QC): the main advantage being the potential speed increase of quantum algorithms. This paper introduces a way of utilizing Grover’s algorithm - which has been shown to provide a quadratic speed-up over its classical equivalent - in algorithmic rule-based music composition. The system introduced - qgMuse - is simple but scalable. Example melodies are composed using qgMuse using the ibmqx4 quantum hardware. The paper concludes with discussion on how such an approach can grow with the improvement of quantum computer hardware and software