Quantum Neural Networks (QNN) are considered a candidate for achieving quantum advantage in the Noisy Intermediate Scale Quantum computer (NISQ) era. Several QNN architectures have been proposed and successfully tested on benchmark datasets for machine learning. However. quantitative studies of the QNN-generated entanglement have been investigated only for up to few qubits. https://macorners.shop/product-category/collections/