arXiv subjects

Fernando Loren

Publications and source records attributed to Fernando Loren.

2 recordsLinked to original sources

arXiv2025

Direct interferometric measurement of non-reciprocity induced by a plasmonic metasurface with false chirality

Nonreciprocity is an important scientific concept related to the broken symmetry of light propagation through a system in forward and reverse directions. This effect lies in the origin of various applications including signal processing, noise reduction, unidirectional propagation and sensing. Here we show that propagation of Surface Plasmons (SP) within a structure having a false chirality exhibits a non-reciprocity. The SP waves propagating in opposite directions within the structure acquire opposite Pancharatnam-Berry (PB) phases. To detect this phase difference we introduce a novel interferometric technique based on a customized Sagnac set-up. The main advantages of our proposed system are high sensitivity to non-reciprocal phase changes, high precision incidence angle alignment and the inspection of the k-space enabled by sufficiently wide range of incidence angles. We believe that a pivotal role of the non-reciprocity and its detection in numerous physical and chemical processes suggests a wide range of practical applications as well as deeper scientific insights.

physics.optics↗

arXiv2024

Quantum Large Language Models via Tensor Network Disentanglers

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 representation that exactly reproduces the original model, providing a principled starting point from which quantum resources can only improve performance. Our approach replaces the weight matrices in self-attention and multilayer perceptron layers with two variational quantum circuits coupled to a matrix product operator (MPO). Tensor network disentanglers transfer much of each layer's information into the quantum circuits, enabling the remaining tensor network to be compressed to a bond-dimension-one MPO with over three orders of magnitude fewer classical parameters (in our experiments, from 110,592 to approximately 36 for the replaced layer) and less than a 0.3\% increase in perplexity. Training an added unitary adapter on top of this representation then surpasses the original model, reducing perplexity by up to 1.6\%. Finally, we validate the hybrid architecture on a real quantum processor, demonstrating a practical route towards quantum-enhanced language models.

quant-ph↗