What are the main types of unitary gates used in QNNs, and how do they function within the quantum circuit?
Tuesday, 11 June 2024
by EITCA Academy
Quantum Neural Networks (QNNs) are an emerging area in the intersection of quantum computing and artificial intelligence, leveraging the principles of quantum mechanics to enhance machine learning algorithms. A fundamental component of QNNs is the unitary gate, which plays a important role in manipulating quantum bits (qubits) within a quantum circuit. Understanding the main types
- Published in Artificial Intelligence, EITC/AI/TFQML TensorFlow Quantum Machine Learning, Overview of TensorFlow Quantum, Layer-wise learning for quantum neural networks, Examination review
Tagged under:
Artificial Intelligence, QNNs, Quantum Circuits, Quantum Computing, TensorFlow Quantum, Unitary Gates

