Quantum Neural Networks: BSc thesis mind map 18 results

Machine learning Quantum computing Quantum neural networks Finance example 2.1 Feed-forward network 2.2 Gradient descent 3.1 Qubit state 3.2 Quantum gate 3.3 Measurement 3.4 Non-classical basis 3.5 Pauli matrices 3.6 Two-qubit basis 3.7 σX ⊗ σX 3.8 Entanglement 4.1 Parametrized circuit 4.2 Linear entanglement 4.3 Variational circuit 4.4 Trainable block 4.5 Observable 4.6 Spectral theorem 4.7 Pauli-Z observables 5.1 PCA for QNN inputs Machine learning Quantumcomputing Quantum neuralnetworks Finance example

Machine learning2▸

Feed-forward networks and gradient-descent training (Section 2)

Quantum computing8▸

Qubits, gates, measurement and entanglement (Section 3)

Quantum neural networks7▸

Parametrized circuits, observables and the spectral theorem (Section 4)

Finance example1▸

Forecasting returns and covariances with a QNN (Section 5)

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