Dynamic Portfolio Optimization with Real Datasets Using Quantum Processors and Quantum-Inspired Tensor Networks. - Samuel Mugel; Carlos Kuchkovsky; Escolastico Sanchez; Samuel Fernández-Lorenzo; Jorge Luis-Hita; Enrique Lizaso; Roman Orus (CoRR, 2020)

Quantum-Inspired Tensor Neural Networks for Partial Differential Equations. - Raj G. Patel; Chia-Wei Hsing; Serkan Sahin; Saeed S. Jahromi; Samuel Palmer; Shivam Sharma; Christophe Michel; Vincent Porte; Mustafa Abid; Stephane Aubert; Pierre Castellani; Chi-Guhn Lee; et al. (CoRR, 2022)

Quantum artificial vision for defect detection in manufacturing. - Daniel Guijo; Victor Onofre; Gianni Del Bimbo; Samuel Mugel; Daniel Estepa; Xabier De Carlos; Ana Adell; Aizea Lojo; Josu Bilbao; Roman Orus (CoRR, 2022)

Financial Index Tracking via Quantum Computing with Cardinality Constraints. - Samuel Palmer; Konstantinos Karagiannis; Adam Florence; Asier Rodriguez; Roman Orus; Harish Naik; Samuel Mugel (CoRR, 2022)

Financial Risk Management on a Neutral Atom Quantum Processor. - Lucas Leclerc; Luis Ortiz-Guitierrez; Sebastián Grijalva; Boris Albrecht; Julia R. K. Cline; Vincent E. Elfving; Adrien Signoles; Loïc Henriet; Gianni Del Bimbo; Usman Ayub Sheikh; Maitree Shah; Luc Andrea; et al. (CoRR, 2022)

Quantum-Inspired Tensor Neural Networks for Option Pricing. - Raj G. Patel; Chia-Wei Hsing; Serkan Sahin; Samuel Palmer; Saeed S. Jahromi; Shivam Sharma; Tomas Dominguez; Kris Tziritas; Christophe Michel; Vincent Porte; Mustafa Abid; Stephane Aubert; et al. (CoRR, 2022)

Application of Tensor Neural Networks to Pricing Bermudan Swaptions. - Raj G. Patel; Tomas Dominguez; Mohammad Dib; Samuel Palmer; Andrea Cadarso; Fernando De Lope Contreras; Abdelkader Ratnani; Francisco Gomez Casanova; Senaida Hernández-Santana; Álvaro Díaz Fernández; Eva Andrés; Jorge Luis-Hita; et al. (CoRR, 2023)

Toward Prediction of Financial Crashes with a D-Wave Quantum Annealer. - Yongcheng Ding; Javier Gonzalez-Conde; Lucas Lamata; José D. Martín-Guerrero; Enrique Lizaso; Samuel Mugel; Xi Chen 059; Román Orús; Enrique Solano; Mikel Sanz (Entropy, 2023)

Boosting Defect Detection in Manufacturing using Tensor Convolutional Neural Networks. - Pablo Martin-Ramiro; Unai Sainz de la Maza; Roman Orus; Samuel Mugel (CoRR, 2024)

CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks. - Andrei Tomut; Saeed S. Jahromi; Sukhbinder Singh; Faysal Ishtiaq; César Muñoz; Prabdeep Singh Bajaj; Ali Elborady; Gianni Del Bimbo; Mehrazin Alizadeh; David Montero; Pablo Martin-Ramiro; Muhammad Ibrahim 008; et al. (CoRR, 2024)

Quantum-Inspired Solver for Simulating Material Deformations. - Mazen Ali; Aser Cortines; Siddhartha Morales; Samuel Mugel; Mireia Olave; Roman Orus; Samuel Palmer; Hodei Usabiaga (CoRR, 2025)

Synthetic Data Generation and Differential Privacy using Tensor Networks' Matrix Product States (MPS). - Alejandro Moreno R.; Desale Fentaw; Samuel Palmer; Raúl Salles de Padua; Ninad Dixit; Samuel Mugel; Román Orús; Manuel Radons; Josef Menter; Ali Abedi 006 (CoRR, 2025)

Blockchain Network Analysis using Quantum Inspired Graph Neural Networks & Ensemble Models. - Luigi D'Amico; Daniel De Rosso; Ninad Dixit; Raúl Salles de Padua; Samuel Palmer; Samuel Mugel; Román Orús; Holger Eble; Ali Abedi 006 (CoRR, 2025)