Muhammad Shafique

Explore how noise impacts the performance of Hybrid Quantum Neural Networks.

Exploring the impact of noise on Quantum Neural Networks training and effective strategies.

A new architecture advances cancer detection in medical imaging using lower resolution inputs.

Combining quantum computing and federated learning for enhanced data privacy.

A new framework to assess machine learning evolution as tasks are learned.

Exploring the impact of quantum algorithms on portfolio optimization performance.

Leveraging quantum machine learning to enhance cybersecurity vulnerability analysis.

Quantum techniques improve accuracy in predicting financial markets and managing risks.

A new view simplifies neural networks through linear operations and dynamical systems.

AQ-PINNs merges quantum computing and AI for efficient climate modeling.

Combining Federated Learning and quantum technology promises safer data handling in AI.

New methods combine quantum computing and federated learning to enhance data privacy.

A look into the fusion of FL and QDSNNs for smarter, private data processing.

New quantum methods improve loan eligibility predictions with high accuracy.

HQNNs blend quantum computing with machine learning for complex problem-solving.

Learn how quantum circuit cutting improves quantum neural networks on limited devices.

Simpler initialization can enhance quantum algorithm performance by avoiding barren plateaus.

Quantum Machine Learning enhances oil spill detection for better environmental protection.

New tech using Quantum Machine Learning shows promise in fighting credit card fraud.