8 papers
Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters
Borja Aizpurua, Sukhbinder Singh, Augustine Kshetrimayum +2
Large language models (LLMs) have transformed artificial intelligence, yet classical architectures impose a fundamental constraint: every trainable parameter demands classical memo…
Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers: A Case Study in Image Classification
Borja Aizpurua, Sukhbinder Singh, Román Orús
We address the problem of implementing bottleneck layers from classical pre-trained neural networks on a quantum computer, with the goal of exploring intrinsically quantum ansatz f…
Only relative ranks matter in weight-clustered large language models
Borja Aizpurua, Sukhbinder Singh, Román Orús
Large language models (LLMs) contain billions of parameters, yet many exact values are not essential. We show that what matters most is the relative rank of weights-whether one con…
Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data
Olatz Sanz Larrarte, Borja Aizpurua, Reza Dastbasteh +2
Deciphering complex gene-gene interactions remains challenging in transcriptomics as traditional methods often miss higher-order and nonlinear dependencies. This study introduces a…
Hacking Cryptographic Protocols with Tensor Network Attacks
Borja Aizpurua, Siddhartha Patra, Josu Etxezarreta Martinez +1
Here we introduce the application of Tensor Networks (TN) to launch attacks on symmetric-key cryptography. Our approaches make use of Matrix Product States (MPS) as well as our rec…
Tensor Networks for Explainable Machine Learning in Cybersecurity
Borja Aizpurua, Samuel Palmer, Roman Orus
In this paper we show how tensor networks help in developing explainability of machine learning algorithms. Specifically, we develop an unsupervised clustering algorithm based on M…