Junaid Farooq

ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks

Quantum Neural Networks (QNNs) offer promising capabilities for complex data tasks, but are often constrained by limited qubit resources and high entanglement, which can hinder scalability and efficiency. In this paper, we introduce Adaptive Threshold Pruning (ATP), an encoding method that reduces e…