Saeed S. Jahromi

According to our database, Saeed S. Jahromi authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

2025

CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks.

Saeed S. Jahromi, Uygar Kurt, Sukhi Singh, David Montero, Borja Aizpurua, Román Orús Lacort

Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025

2024

Quantum Large Language Models via Tensor Network Disentanglers.

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

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

2023

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

Siddhartha Patra, Saeed S. Jahromi, Sukhbinder Singh, Roman Orus

CoRR, 2023

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

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