activity
20232025
most citedDigital-analog quantum convolutional neural networks for image classification

9 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2025

Quantum Combinatorial Reasoning for Large Language Models

Carlos Flores-Garrigos, Gaurav Dev, Michael Falkenthal +5

We design and implement a quantum combinatorial reasoning framework for large language models (QCR-LLM), integrating a real quantum computer in the hybrid workflow. QCR-LLM reformu…

quant-ph2025

Analog Quantum Feature Selection with Neutral-Atom Quantum Processors

Jose J. Orquin-Marques, Carlos Flores-Garrigos, Alejandro Gomez Cadavid +5

We present a quantum-native approach to quantum feature selection (QFS) based on analog quantum simulation with neutral atom arrays, adaptable to a variety of academic and industri…

quant-ph2025

Quenched Quantum Feature Maps

Anton Simen, Carlos Flores-Garrigos, Murilo Henrique De Oliveira +9

We propose a quantum feature mapping technique that leverages the quench dynamics of a quantum spin glass to extract complex data patterns at the quantum-advantage level for academ…

quant-ph2024★ 9 cited

Digital-analog quantum convolutional neural networks for image classification

Anton Simen, Carlos Flores-Garrigos, Narendra N. Hegade +6

We propose digital-analog quantum kernels for enhancing the detection of complex features in the classification of images. We consider multipartite-entangled analog blocks, stemmin…

quant-ph2023★ 2 cited

Physics-Informed Neural Networks for an optimal counterdiabatic quantum computation

Antonio Ferrer-Sánchez, Carlos Flores-Garrigos, Carlos Hernani-Morales +7

We introduce a novel methodology that leverages the strength of Physics-Informed Neural Networks (PINNs) to address the counterdiabatic (CD) protocol in the optimization of quantum…