Take a deeper dive into quantum machine learning by exploring cutting-edge algorithms using PennyLane and near-term quantum hardware.
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:tooltip: Do arbitrary state preparation on a real quantum computer.
:figure: implementations/state_preparation/NOON.png
:description: :doc:`app/tutorial_state_preparation`
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:tooltip: Ising model example with PennyLane PyTorch interface.
:figure: implementations/Ising_model/isingspins.png
:description: :doc:`app/tutorial_isingmodel_PyTorch`
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:tooltip: Create a simple QGAN with Cirq and TensorFlow.
:figure: implementations/QGAN/qgan3.png
:description: :doc:`app/tutorial_QGAN`
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:tooltip: A quantum variational classifier
:figure: implementations/variational_classifier/classifier_output_59_0.png
:description: :doc:`app/tutorial_variational_classifier`
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:tooltip: Fit one dimensional noisy data with a quantum neural network.
:figure: implementations/quantum_neural_net/qnn_output_28_0.png
:description: :doc:`app/quantum_neural_net`
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:tooltip: Find the ground state of a Hamiltonian.
:figure: implementations/variational_quantum_eigensolver/pes_h2.png
:description: :doc:`app/tutorial_vqe`
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:tooltip: Universal Quantum Classifier with data-reuploading
:figure: implementations/data_reuploading/universal_dnn.png
:description: :doc:`app/tutorial_data_reuploading_classifier`
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:tooltip: Faster optimization convergence using quantum natural gradient
:figure: implementations/quantum_natural_gradient/qng_optimization.png
:description: :doc:`app/tutorial_quantum_natural_gradient`
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:tooltip: Perform QAOA for MaxCut
:figure: implementations/qaoa_maxcut/qaoa_maxcut_partition.png
:description: :doc:`app/tutorial_qaoa_maxcut`
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:tooltip: Barren plateaus in quantum neural networks
:figure: implementations/barren_plateaus/surface.png
:description: :doc:`app/tutorial_barren_plateaus`
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:tooltip: Rotoselect algorithm
:figure: implementations/rotoselect/rotoselect_structure.png
:description: :doc:`app/tutorial_rotoselect`
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:tooltip: Doubly stochastic gradient descent
:figure: implementations/doubly_stochastic/single_shot.png
:description: :doc:`Doubly stochastic gradient descent <app/tutorial_doubly_stochastic>`
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:tooltip: Variational Quantum Linear Solver
:figure: implementations/vqls/vqls_zoom.png
:description: :doc:`app/tutorial_vqls`
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:tooltip: Coherent implementation of a variational quantum linear solver
:figure: implementations/coherent_vqls/cvqls_zoom.png
:description: :doc:`app/tutorial_coherent_vqls`
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:tooltip: Quantum transfer learning
:figure: implementations/quantum_transfer_learning/transfer_images.png
:description: :doc:`app/tutorial_quantum_transfer_learning`
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:tooltip: Training an embedding to perform metric learning
:figure: implementations/embedding_metric_learning/training.png
:description: :doc:`app/tutorial_embeddings_metric_learning`
.. toctree::
:maxdepth: 2
:caption: QML Implementations
:hidden:
app/tutorial_state_preparation
app/tutorial_isingmodel_PyTorch
app/tutorial_QGAN
app/tutorial_variational_classifier
app/quantum_neural_net
app/tutorial_vqe
app/tutorial_data_reuploading_classifier
app/tutorial_quantum_natural_gradient
app/tutorial_qaoa_maxcut
app/tutorial_barren_plateaus
app/tutorial_rotoselect
app/tutorial_doubly_stochastic
app/tutorial_vqls
app/tutorial_coherent_vqls
app/tutorial_quantum_transfer_learning
app/tutorial_embeddings_metric_learning