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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/215876
Tensor network based integration methods
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In this work we overview the Tensor Train Cross decomposition of large tensors and its applicability to high-dimensional integration. Furthermore, two different algorithms for building this decomposition are showcased and compared against a Monte Carlo method, both outperforming it in terms of resource efficiency. A python package is also presented, containing these two algorithms along other tools to leverage the power of the framework in a comprehensive and easy to use manner
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Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2024, Tutors: Stefano Carignano, Joan Soto Riera
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TORRENTE BADIA, Pau. Tensor network based integration methods. [consulted: 9 of October of 2026]. Available at: https://hdl.handle.net/2445/215876