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-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)

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

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)

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