63 citations · 84 across the 14 of their papers we have counts for
5 papers · 1 filter
Quantum Large Language Models via Tensor Network Disentanglers
Borja Aizpurua, Fernando Loren, Saeed S. Jahromi +2
We introduce a framework for seamlessly integrating quantum computing into pretrained large language models (LLMs). The key idea is to construct a hybrid quantum-classical represen…
Projected Entangled Pair States with flexible geometry
Siddhartha Patra, Sukhbinder Singh, Román Orús
Projected Entangled Pair States (PEPS) are a class of quantum many-body states that generalize Matrix Product States for one-dimensional systems to higher dimensions. In recent yea…
Tensor network compressibility of convolutional models
Sukhbinder Singh, Saeed S. Jahromi, Roman Orus
Convolutional neural networks (CNNs) are one of the most widely used neural network architectures, showcasing state-of-the-art performance in computer vision tasks. Although larger…
CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks
Andrei Tomut, Saeed S. Jahromi, Abhijoy Sarkar +15
Large Language Models (LLMs) such as ChatGPT and LlaMA are advancing rapidly in generative Artificial Intelligence (AI), but their immense size poses significant challenges, such a…
Boosting Defect Detection in Manufacturing using Tensor Convolutional Neural Networks
Pablo Martin-Ramiro, Unai Sainz de la Maza, Sukhbinder Singh +2
Defect detection is one of the most important yet challenging tasks in the quality control stage in the manufacturing sector. In this work, we introduce a Tensor Convolutional Neur…