Natural Majorization of the Quantum Fourier Transformation in Phase-Estimation Algorithms. - Román Orús; José I. Latorre; Miguel-Angel Martin-Delgado (Quantum Inf. Process., 2002)

Two slightly-entangled NP-complete problems. - Roman Orus (Quantum Inf. Comput., 2005)

Geometric entanglement of one-dimensional systems: bounds and scalings in the thermodynamic limit. - Roman Orus; Tzu-Chieh Wei (Quantum Inf. Comput., 2011)

The physical structure of grammatical correlations: equivalences, formalizations and consequences. - Ángel J. Gallego; Roman Orus (CoRR, 2017)

Mathematical foundations of matrix syntax. - Roman Orus; Roger Martin; Juan Uriagereka (CoRR, 2017)

Management of Big Textual Data in Qualitative Research: Organizing the Relationships in a Typology based on Logical Properties. - Christophe Jouis; Mercedes Orús-Lacort; Nino Durglishvili; Román Orús (MEDES, 2019)

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)

Variational Quantum and Quantum-Inspired Clustering. - Pablo Bermejo 002; Roman Orus (CoRR, 2022)

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)

Language Design as Information Renormalization. - Ángel J. Gallego; Román Orús (SN Comput. Sci., 2022)

Forecasting Election Polls with Spin Systems. - Rubén Ibarrondo; Mikel Sanz; Román Orús (SN Comput. Sci., 2022)

Improving Gradient Methods via Coordinate Transformations: Applications to Quantum Machine Learning. - Pablo Bermejo 002; Borja Aizpurua; Roman Orus (CoRR, 2023)

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)

Efficient tensor network simulation of IBM's largest quantum processors. - Siddhartha Patra; Saeed S. Jahromi; Sukhbinder Singh; Roman Orus (CoRR, 2023)

Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks. - Borja Aizpurua; Pablo Bermejo 002; Josu Etxezarreta Martinez; Roman Orus (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)

Tensor Networks for Explainable Machine Learning in Cybersecurity. - Borja Aizpurua; Roman Orus (CoRR, 2024)

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)

Tensor network compressibility of convolutional models. - Sukhbinder Singh; Saeed S. Jahromi; Roman Orus (CoRR, 2024)

Image Classification with Rotation-Invariant Variational Quantum Circuits. - Paul San Sebastian; Mikel Cañizo; Román Orús (CoRR, 2024)

Quantum Large Language Models via Tensor Network Disentanglers. - Borja Aizpurua; Saeed S. Jahromi; Sukhbinder Singh; Roman Orus (CoRR, 2024)

Ultralight Signal Classification Model for Automatic Modulation Recognition. - Alessandro Daniele Genuardi Oquendo; Agustín Matías Galante Cerviño; Nilotpal Kanti Sinha; Luc Andrea; Sam Mugel; Román Orús (CoRR, 2024)

Decoding algorithms for surface codes. - Antonio deMarti iOlius; Patricio Fuentes; Román Orús; Pedro M. Crespo; Josu Etxezarreta Martinez (Quantum, 2024)

Tensor networks for explainable machine learning in cybersecurity. - Borja Aizpurua; Samuel Palmer; Román Orús (Neurocomputing, 2025)

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)

A tensor network approach for chaotic time series prediction. - Rodrigo Martínez-Peña; Román Orús (CoRR, 2025)

Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks. - Safa Hamreras; Sukhbinder Singh; Román Orús (CoRR, 2025)

Quantum computing and artificial intelligence: status and perspectives. - Giovanni Acampora; Andris Ambainis; Natalia Ares; Leonardo Banchi; Pallavi Bhardwaj; Daniele Binosi; G. Andrew D. Briggs; Tommaso Calarco; Vedran Dunjko; Jens Eisert; Olivier Ezratty; Paul Erker; et al. (CoRR, 2025)

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging. - Mazen Ali; António Pereira; Fabio Gentile; Aser Cortines; Sam Mugel; Román Orús; Stelios Neophytides; Michalis Mavrovouniotis (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)