Advqunn: A methodology for analyzing the adversarial robustness of quanvolutional neural networks
W El Maouaki, A Marchisio, T Said… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Recent advancements in quantum computing have led to the development of hybrid
quantum neural networks (HQNNs) that employ a mixed set of quantum layers and classical …
quantum neural networks (HQNNs) that employ a mixed set of quantum layers and classical …
Quantum latent diffusion models
The introduction of quantum concepts is increasingly making its way into generative
machine learning models. However, while there are various implementations of quantum …
machine learning models. However, while there are various implementations of quantum …
Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices
A Marchisio, E Sychiuco, M Kashif… - arxiv preprint arxiv …, 2024 - arxiv.org
The rapid advancement in Quantum Computing (QC), particularly through Noisy-
Intermediate Scale Quantum (NISQ) devices, has spurred significant interest in Quantum …
Intermediate Scale Quantum (NISQ) devices, has spurred significant interest in Quantum …
Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality?
Hybrid Quantum Neural Networks (HQNNs) have gained attention for their potential to
enhance computational performance by incorporating quantum layers into classical neural …
enhance computational performance by incorporating quantum layers into classical neural …
Designing Robust Quantum Neural Networks: Exploring Expressibility, Entanglement, and Control Rotation Gate Selection for Enhanced Quantum Models
In this study, we investigated the robustness of Quanvolutional Neural Networks (QuNNs) in
comparison to their classical counterparts, Convolutional Neural Networks (CNNs), against …
comparison to their classical counterparts, Convolutional Neural Networks (CNNs), against …
PO-QA: A Framework for Portfolio Optimization using Quantum Algorithms
K Zaman, A Marchisio, M Kashif… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Portfolio Optimization (PO) is a financial problem aiming to maximize the net gains while
minimizing the risks in a given investment portfolio. The novelty of Quantum algorithms lies …
minimizing the risks in a given investment portfolio. The novelty of Quantum algorithms lies …
Quantum-Enhanced Cognitive Systems: Harnessing Parameterized Quantum Circuits for Advanced Machine Learning Applications
S Namdeo, S Khurana, MJ Nene - International Conference on …, 2024 - Springer
Abstract Parameterized Quantum Circuits (PQCs) utilize quantum computational capabilities
to enhance cognitive systems in the Noisy Intermediate-Scale Quantum (NISQ) era. This …
to enhance cognitive systems in the Noisy Intermediate-Scale Quantum (NISQ) era. This …
Rejected Cookies@ Decoding Faux-Hate: Predicting Fake Narratives and Hateful Content
JD Joy, N Srivastava - … of the 21st International Conference on …, 2024 - aclanthology.org
This paper reports the results of our team for theICON 2024 shared task Decoding Fake
Narra-tives in Spreading Hateful Stories (Faux-Hate). The task aims at classifying tweets in a …
Narra-tives in Spreading Hateful Stories (Faux-Hate). The task aims at classifying tweets in a …