Román Orús

According to our database, Román Orús authored at least 47 papers between 2002 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Fast Tensorization of Neural Networks via Slice-wise Feature Distillation.

Safa Hamreras, Sukhbinder Singh, Román Orús

CoRR, May, 2026

Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters.

Borja Aizpurua, Sukhbinder Singh, Augustine Kshetrimayum, Saeed S. Jahromi, Roman Orus

CoRR, May, 2026

STN-GPR: A Singularity Tensor Network Framework for Efficient Option Pricing.

Dominic Gribben, Carolina Allende, Alba Villarino, Aser Cortines, Mazen Ali, Román Orús, Pascal Oswald, Noureddine Lehdili

CoRR, March, 2026

Only relative ranks matter in weight-clustered large language models.

Borja Aizpurua, Sukhbinder Singh, Román Orús

CoRR, March, 2026

Empirical Study of Observable Sets in Multiclass Quantum Classification.

Paul San Sebastian, Mikel Cañizo, Roman Orus

CoRR, February, 2026

Block removal for large language models through constrained binary optimization.

David Jansen, Roman Rausch, David Montero, Roman Orus

CoRR, February, 2026

2025

Refusal Steering: Fine-grained Control over LLM Refusal Behaviour for Sensitive Topics.

Iker García-Ferrero, David Montero, Roman Orus

CoRR, December, 2025

Scaling Laws for Energy Efficiency of Local LLMs.

Ander Alvarez, Alessandro Daniele Genuardi Oquendo, Nilotpal Kanti Sinha, Antonio Tiene, Mikail Okyay, Bakbergen Ryskulov, David Montero, Samuel Mugel, Román Orús

CoRR, December, 2025

Globally optimized SVD compression of LLMs via Fermi-function-based rank selection and gauge fixing.

Roman Rausch, David Jansen, Sukhbinder Singh, Román Orús

CoRR, December, 2025

epiGPTope: A machine learning-based epitope generator and classifier.

Natalia Flechas Manrique, Alberto Martínez, Elena López-Martínez, Luc Andrea, Román Orús, Aitor Manteca, Aitziber L. Cortajarena, Llorenç Espinosa-Portalés

CoRR, September, 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

CoRR, August, 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

CoRR, August, 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, July, 2025

Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks.

Borja Aizpurua, Pablo Bermejo, Josu Etxezarreta Martínez, Román Orús

ACM Trans. Quantum Comput., June, 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, Federico Fedele, Elies Gil-Fuster, Martin Gärttner, Mats Granath, Markus Heyl, Iordanis Kerenidis, Matthias Klusch, Anton Frisk Kockum, Richard Kueng, Mario Krenn, Jörg Lässig, Antonio Macaluso, Sabrina Maniscalco, Florian Marquardt, Kristel Michielsen, Gorka Muñoz-Gil, Daniel Müssig, Hendrik Poulsen Nautrup, Evert P. L. van Nieuwenburg, Roman Orus, Jörg Schmiedmayer, Markus Schmitt, Philipp Slusallek, Filippo Vicentini, Christof Weitenberg, Frank K. Wilhelm

CoRR, May, 2025

Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks.

Safa Hamreras, Sukhbinder Singh, Román Orús

CoRR, May, 2025

A tensor network approach for chaotic time series prediction.

Rodrigo Martínez-Peña, Román Orús

CoRR, May, 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, January, 2025

Quantum-Based QoE Optimization in Advanced Cellular Networks: Integration and Cloud Gaming Use Case.

Fatma Chaouech, Javier Villegas, António Pereira, Carlos Baena, Sergio Fortes, Raquel Barco, Dominic Gribben, Mohammad Dib, Alba Villarino, Aser Cortines, Román Orús

IEEE Open J. Commun. Soc., 2025

Tensor networks for explainable machine learning in cybersecurity.

Borja Aizpurua, Samuel Palmer, Román Orús

Neurocomputing, 2025

2024

Decoding algorithms for surface codes.

Antonio deMarti iOlius, Patricio Fuentes, Román Orús, Pedro M. Crespo, Josu Etxezarreta Martinez

Quantum, 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

Quantum Large Language Models via Tensor Network Disentanglers.

Borja Aizpurua, Saeed S. Jahromi, Sukhbinder Singh, Roman Orus

CoRR, 2024

Image Classification with Rotation-Invariant Variational Quantum Circuits.

Paul San Sebastian, Mikel Cañizo, Román Orús

CoRR, 2024

Tensor network compressibility of convolutional models.

Sukhbinder Singh, Saeed S. Jahromi, Roman Orus

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, Oussama Tahiri-Alaoui, John Malcolm, Samuel Mugel, 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

Tensor Networks for Explainable Machine Learning in Cybersecurity.

Borja Aizpurua, Roman Orus

CoRR, 2024

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, Román Orús, Enrique Solano, Mikel Sanz

Entropy, February, 2023

Efficient tensor network simulation of IBM's largest quantum processors.

Siddhartha Patra, Saeed S. Jahromi, Sukhbinder Singh, 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, Escolástico Sánchez-Martínez, Samuel Mugel, Roman Orus

CoRR, 2023

Improving Gradient Methods via Coordinate Transformations: Applications to Quantum Machine Learning.

Pablo Bermejo, Borja Aizpurua, Roman Orus

CoRR, 2023

2022

Forecasting Election Polls with Spin Systems.

Rubén Ibarrondo, Mikel Sanz, Román Orús

SN Comput. Sci., 2022

Language Design as Information Renormalization.

Ángel J. Gallego, Román Orús

SN Comput. Sci., 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, Pierre Castellani, Samuel Mugel, Roman Orus

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, Faysal Ishtiaq, Andoni Duarte, Samuel Mugel, Irene Caceres, Michel Kurek, Roman Orus, Achraf Seddik, Oumaima Hammammi, Hacene Isselnane, Didier M'tamon

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

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

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, Samuel Mugel, Roman Orus

CoRR, 2022

Variational Quantum and Quantum-Inspired Clustering.

Pablo Bermejo, Roman Orus

CoRR, 2022

2020

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

2019

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

Proceedings of the 11th International Conference on Management of Digital EcoSystems, 2019

2017

Mathematical foundations of matrix syntax.

Roman Orus, Roger Martin, Juan Uriagereka

CoRR, 2017

The physical structure of grammatical correlations: equivalences, formalizations and consequences.

Ángel J. Gallego, Roman Orus

CoRR, 2017

2011

Geometric entanglement of one-dimensional systems: bounds and scalings in the thermodynamic limit.

Roman Orus, Tzu-Chieh Wei

Quantum Inf. Comput., 2011

2005

Two slightly-entangled NP-complete problems.

Roman Orus

Quantum Inf. Comput., 2005

2002

Natural Majorization of the Quantum Fourier Transformation in Phase-Estimation Algorithms.

Román Orús, José I. Latorre, Miguel Angel Martin-Delgado

Quantum Inf. Process., 2002