Aplicación práctica de la computación cuántica a problemas financieros
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2021
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La computación cuántica está experimentando un auge significativo esta última década, lo cual ha permitido a los investigadores plantear problemas que hasta la fecha eran imposibles de resolver en el paradigma clásico.
Los qubits, que son los bits cuánticos, nos dan una ventaja superior respecto a ciertos problemas complejos en distintas ramas, como son la química y la financiera. Más concretamente, en el espectro financiero existen determinados problemas de optimización que su complejidad se va incrementando exponencialmente a medida que añadimos más nodos, por lo que los computadores clásicos encuentran grandes dificultades a la hora de calcular dichos problemas.
Nuestro objetivo es desarrollar un algoritmo cuántico que resuelva el problema del arbitraje de divisas. De tal forma que logremos mejores resultados respecto a los sistemas clásicos que monitorizan actualmente el mercado, analizando así, problemas de tallas mayores con un tiempo menor. Para la realización del trabajo utilizaremos el lenguaje Python y la librería cuántica Qiskit. Además, utilizaremos ciertos computadores cuánticos proporcionados por IBM para ejecutar dichos algoritmos.
Quantum computing is experiencing a sector-shifting boom this decade, which has allowed researchers to dive deeper into finding solutions to unsolved problems in the classical paradigm. Qubits, or quantum bits, bring us many advantages in regard to certain complex problems related to chemicals and finance. Furthermore, in finance there are some optimization problems of deepening complexity with more nodes. This is a result of classical computers finding it difficult to solve problems such as these. Our objective is to develop a quantum algorithm that solves currencies arbitrage. Moreover, we will achieve better results with this quantum algorithm than with classical systems that are on the market. We will solve big problems with less time using quantum performance. To accomplish this, we will use Python and the quantum library, Qiskit. Moreover, we will use IBM quantum computers to execute these algorithms.
Quantum computing is experiencing a sector-shifting boom this decade, which has allowed researchers to dive deeper into finding solutions to unsolved problems in the classical paradigm. Qubits, or quantum bits, bring us many advantages in regard to certain complex problems related to chemicals and finance. Furthermore, in finance there are some optimization problems of deepening complexity with more nodes. This is a result of classical computers finding it difficult to solve problems such as these. Our objective is to develop a quantum algorithm that solves currencies arbitrage. Moreover, we will achieve better results with this quantum algorithm than with classical systems that are on the market. We will solve big problems with less time using quantum performance. To accomplish this, we will use Python and the quantum library, Qiskit. Moreover, we will use IBM quantum computers to execute these algorithms.