Copertina

AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Dutta, Siddhant, Innan, Nouhaila, Yahia, Sadok Ben, Shafique, Muhammad
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Quantum Physics Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction
di: Dutta, Siddhant, et al.
Pubblicazione: (2024)

QAS-QTNs: Curriculum Reinforcement Learning-Driven Quantum Architecture Search for Quantum Tensor Networks
di: Dutta, Siddhant, et al.
Pubblicazione: (2025)

MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption
di: Dutta, Siddhant, et al.
Pubblicazione: (2024)

QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolution
di: Dutta, Siddhant, et al.
Pubblicazione: (2025)

LEP-QNN: Loan Eligibility Prediction using Quantum Neural Networks
di: Innan, Nouhaila, et al.
Pubblicazione: (2024)

Hybrid Quantum-Classical Neural Architecture Search
di: Marchisio, Alberto, et al.
Pubblicazione: (2026)

How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations
di: Innan, Nouhaila, et al.
Pubblicazione: (2026)

IQNN-CS: Interpretable Quantum Neural Network for Credit Scoring
di: Khan, Abdul Samad, et al.
Pubblicazione: (2025)

QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection
di: Innan, Nouhaila, et al.
Pubblicazione: (2024)

Quantum vs. Classical Machine Learning: A Benchmark Study for Financial Prediction
di: Ahmad, Rehan, et al.
Pubblicazione: (2026)

HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction
di: Choudhary, Prashant Kumar, et al.
Pubblicazione: (2025)

FedQNN: Federated Learning using Quantum Neural Networks
di: Innan, Nouhaila, et al.
Pubblicazione: (2024)

Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML
di: Dutta, Siddhant, et al.
Pubblicazione: (2024)

Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices
di: Elnakhal, Farah, et al.
Pubblicazione: (2026)

Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection
di: Alami, Mansour El, et al.
Pubblicazione: (2024)

QLIF-CAST: Quantum Leaky-Integrate-and-Fire for Time-Series Weather Forecasting
di: Marchisio, Alberto, et al.
Pubblicazione: (2026)

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks
di: Innan, Nouhaila, et al.
Pubblicazione: (2024)

Enhancing the conformal predictability of context-aware recommendation systems by using Deep Autoencoders
di: Zammali, Saloua, et al.
Pubblicazione: (2024)

QFAL: Quantum Federated Adversarial Learning
di: Maouaki, Walid El, et al.
Pubblicazione: (2025)

Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy
di: Innan, Nouhaila, et al.
Pubblicazione: (2025)

HQTN-SER: Speech Emotion Recognition with Hybrid Quantum Tensor Networks
di: Mohtashim, Mahad, et al.
Pubblicazione: (2026)

RobQFL: Robust Quantum Federated Learning in Adversarial Environment
di: Maouaki, Walid El, et al.
Pubblicazione: (2025)

Financial Fraud Detection using Quantum Graph Neural Networks
di: Innan, Nouhaila, et al.
Pubblicazione: (2023)

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates
di: Choudhary, Prashant Kumar, et al.
Pubblicazione: (2025)

Simulation of a Variational Quantum Perceptron using Grover's Algorithm
di: Innan, Nouhaila, et al.
Pubblicazione: (2023)

Scaling Laws for Hybrid Quantum Neural Networks: Depth, Width, and Quantum-Centric Diagnostics
di: Vyskubov, Danil, et al.
Pubblicazione: (2026)

Design Space Exploration of Hybrid Quantum Neural Networks for Chronic Kidney Disease
di: Kashif, Muhammad, et al.
Pubblicazione: (2026)

FAQNAS: FLOPs-aware Hybrid Quantum Neural Architecture Search using Genetic Algorithm
di: Kashif, Muhammad, et al.
Pubblicazione: (2025)

Enhancing Quantum Support Vector Machines through Variational Kernel Training
di: Innan, Nouhaila, et al.
Pubblicazione: (2023)

Benchmarking VQE Configurations: Architectures, Initializations, and Optimizers for Silicon Ground State Energy
di: Boutakka, Zakaria, et al.
Pubblicazione: (2025)

Towards Fair Benchmarking of Quantum Transfer Learning for Visual Classification
di: Innan, Nouhaila, et al.
Pubblicazione: (2026)

Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks
di: Cruz, Guilherme, et al.
Pubblicazione: (2026)

CircuitHunt: Automated Quantum Circuit Screening for Superior Credit-Card Fraud Detection
di: Innan, Nouhaila, et al.
Pubblicazione: (2025)

GAT-QNN: Genetic Algorithm-Based Training of Hybrid Quantum Neural Networks
di: Ahmed, Tasnim, et al.
Pubblicazione: (2026)

QNAS: A Neural Architecture Search Framework for Accurate and Efficient Quantum Neural Networks
di: Maleki, Kooshan, et al.
Pubblicazione: (2026)

Late Breaking Results: Hardware-Efficient Quantum Reservoir Computing via Quantized Readout
di: Pathak, Param, et al.
Pubblicazione: (2026)

KASPER: Kolmogorov Arnold Networks for Stock Prediction and Explainable Regimes
di: Oad, Vidhi, et al.
Pubblicazione: (2025)

Investigating Different Barren Plateaus Mitigation Strategies in Variational Quantum Eigensolver
di: Atallah, Mostafa, et al.
Pubblicazione: (2025)

Quantum Portfolio Optimization with Expert Analysis Evaluation
di: Innan, Nouhaila, et al.
Pubblicazione: (2025)

SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning
di: Innan, Nouhaila, et al.
Pubblicazione: (2026)