Development of Algorithms and Methodsfor the Simulation and Improvement in the Quantum Natural Language Processing Area

• Autores: David Peral García, Juan Cruz Benito, Francisco José García Peñalvo
• Localización: Proceedings TEEM 2022: Tenth International Conference on Technological Ecosystems for Enhancing Multiculturality / coord. por Francisco José García Peñalvo , Alicia García Holgado , 2023, ISBN 978-981-99-0941-4, págs. 1238-1245
• Idioma: inglés
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• Resumen

  • To achieve faster computational speeds than classical computing, quantum computing is rapidly evolving to become one of the most popular areas ofcomputer engineering. The advent of Noisy Intermediate Scale Quantum (NISQ)devices has made it possible to perform this work on quantum computers in areaslike chemistry or machine learning. In the field of machine learning, one of thesub-areas of interest is quantum natural language processing. One of the lines ofresearch already allows not only the encoding of words into qubits, also the association of these words -segmented according to their syntactic categorization-, toquantum combinational circuits or ansatz to allow, for example, the association ofthis circuit to a neural network.