Explore cutting-edge research using PennyLane. The demonstrations below implement ideas from inspiring papers that investigate the training of quantum circuits. You can find research that targets quantum machine learning in the Quantum machine learning section, or discover other variational quantum optimization algorithms under Optimization.
Delve into the plethora of exciting research made by the scientific community in quantum machine learning. Implement and run a vast array of different QML applications on your own computer—using simulators from Xanadu, IBM, Google, Rigetti, and many more—or on real hardware devices.
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:tooltip: Create a simple QGAN with Cirq and TensorFlow.
:figure: demonstrations/QGAN/qgan3.png
:description: :doc:`demos/tutorial_QGAN`
:tags: cirq tensorflow
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:tooltip: Fit one-dimensional noisy data with a quantum neural network.
:figure: demonstrations/quantum_neural_net/qnn_output_28_0.png
:description: :doc:`demos/quantum_neural_net`
:tags: autograd strawberryfields photonics
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:tooltip: Universal Quantum Classifier with data-reuploading.
:figure: demonstrations/data_reuploading/universal_dnn.png
:description: :doc:`demos/tutorial_data_reuploading_classifier`
:tags: autograd
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:tooltip: Quantum transfer learning.
:figure: demonstrations/quantum_transfer_learning/transfer_images.png
:description: :doc:`demos/tutorial_quantum_transfer_learning`
:tags: autograd pytorch
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:tooltip: Training an embedding to perform metric learning.
:figure: demonstrations/embedding_metric_learning/training.png
:description: :doc:`demos/tutorial_embeddings_metric_learning`
:tags: autograd
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:tooltip: Pre-process images with a quantum convolution.
:figure: demonstrations/quanvolution/zoom.png
:description: :doc:`demos/tutorial_quanvolution`
:tags: tensorflow
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:tooltip: Variational Quantum Linear Solver.
:figure: demonstrations/vqls/vqls_zoom.png
:description: :doc:`demos/tutorial_vqls`
:tags: autograd
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:tooltip: Coherent implementation of a variational quantum linear solver.
:figure: demonstrations/coherent_vqls/cvqls_zoom.png
:description: :doc:`demos/tutorial_coherent_vqls`
:tags: autograd
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:tooltip: Implement a multiclass variational classifier using PyTorch, PennyLane, and the iris dataset.
:figure: demonstrations/multiclass_classification/margin_2.png
:description: :doc:`demos/tutorial_multiclass_classification`
:tags: pytorch
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:tooltip: Differentiate any qubit gate with the stochastic parameter-shift rule.
:figure: demonstrations/stochastic_parameter_shift/stochastic_parameter_shift_thumbnail.png
:description: :doc:`demos/tutorial_stochastic_parameter_shift`
:tags: autograd
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:tooltip: Using a quantum graph recurrent neural network to learn quantum dynamics.
:figure: demonstrations/qgrnn/qgrnn_thumbnail.png
:description: :doc:`demos/qgrnn`
:tags: autograd
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:tooltip: Optimize a Quantum Optical Neural Network using NLopt.
:figure: demonstrations/qonn/qonn_thumbnail.png
:description: :doc:`demos/qonn`
:tags: autograd photonics
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:tooltip: Understand the link between variational quantum models and Fourier series.
:figure: demonstrations/expressivity_fourier_series/expressivity_thumbnail.png
:description: :doc:`demos/tutorial_expressivity_fourier_series`
:tags: autograd
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:tooltip: Making a quantum machine learning model using neutral atoms
:figure: demonstrations/pasqal/pasqal_thumbnail.png
:description: :doc:`demos/tutorial_pasqal`
:tags: cirq tensorflow
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:tooltip: Meta-learning technique for variational quantum algorithms.
:figure: demonstrations/learning2learn/l2l_thumbnail.png
:description: :doc:`demos/tutorial_learning2learn`
:tags: tensorflow
Here you will find demonstrations showcasing quantum optimization. Explore various topics and ideas, such as the shots-frugal Rosalin optimizer, the variational quantum thermalizer, or the issue of barren plateaus in quantum neural networks.
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:tooltip: Faster optimization convergence using quantum natural gradient.
:figure: demonstrations/quantum_natural_gradient/qng_optimization.png
:description: :doc:`demos/tutorial_quantum_natural_gradient`
:tags: autograd
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:tooltip: Barren plateaus in quantum neural networks.
:figure: demonstrations/barren_plateaus/surface.png
:description: :doc:`demos/tutorial_barren_plateaus`
:tags: autograd
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:tooltip: Rotoselect algorithm.
:figure: demonstrations/rotoselect/rotoselect_structure.png
:description: :doc:`demos/tutorial_rotoselect`
:tags: autograd
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:tooltip: Doubly stochastic gradient descent.
:figure: demonstrations/doubly_stochastic/single_shot.png
:description: :doc:`Doubly stochastic gradient descent <demos/tutorial_doubly_stochastic>`
:tags: autograd
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:tooltip: Frugal shot optimization with the Rosalin optimizer.
:figure: demonstrations/rosalin/rosalin_thumb.png
:description: :doc:`demos/tutorial_rosalin`
:tags: autograd
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:tooltip: Understand the difference between local and global cost functions.
:figure: demonstrations/local_cost_functions/Local_Thumbnail.png
:description: :doc:`demos/tutorial_local_cost_functions`
:tags: autograd
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:tooltip: Optimizing measurement protocols with variational methods.
:figure: demonstrations/quantum_metrology/illustration.png
:description: :doc:`demos/tutorial_quantum_metrology`
:tags: cirq metrology autograd
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:tooltip: Learn about the variational quantum thermalizer algorithm, an extension of VQE.
:figure: demonstrations/vqt/thumbnail.png
:description: :doc:`demos/tutorial_vqt`
:tags: chemistry
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:tooltip: VQE optimization using quantum natural gradient.
:figure: demonstrations/vqe_qng/vqe_qng_thumbnail.png
:description: :doc:`demos/tutorial_vqe_qng`
:tags: chemistry
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:tooltip: Optimize and reduce the number of measurements required to evaluate a variational algorithm cost function.
:figure: demonstrations/measurement_optimize/meas_optimize_thumbnail.png
:description: :doc:`demos/tutorial_measurement_optimize`
:tags: chemistry
Explore the applications of PennyLane to more general quantum computing tasks such as benchmarking and characterizing quantum processors.
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:tooltip: Beyond classical computing with qsim.
:figure: demonstrations/qsim_beyond_classical/sycamore.png
:description: :doc:`demos/qsim_beyond_classical`
:tags: cirq qsim
.. customgalleryitem:: :tooltip: Construct and simulate a Gaussian Boson Sampler. :figure: demonstrations/tutorial_gbs_thumbnail.png :description: :doc:`demos/tutorial_gbs` :tags: photonics strawberryfields
.. customgalleryitem:: :tooltip: Learn how to compute the quantum volume of a quantum processor. :figure: demonstrations/quantum_volume/quantum_volume_thumbnail.png :description: :doc:`demos/quantum_volume` :tags: characterization qiskit
.. toctree::
:maxdepth: 2
:hidden:
demos/tutorial_quantum_natural_gradient
demos/tutorial_barren_plateaus
demos/tutorial_rotoselect
demos/tutorial_doubly_stochastic
demos/tutorial_rosalin
demos/tutorial_local_cost_functions
demos/tutorial_vqls
demos/tutorial_coherent_vqls
demos/tutorial_quantum_metrology
demos/tutorial_vqt
demos/tutorial_vqe_qng
demos/tutorial_measurement_optimize
demos/tutorial_QGAN
demos/quantum_neural_net
demos/tutorial_data_reuploading_classifier
demos/tutorial_quantum_transfer_learning
demos/tutorial_embeddings_metric_learning
demos/tutorial_quanvolution
demos/tutorial_multiclass_classification
demos/tutorial_stochastic_parameter_shift
demos/tutorial_pasqal
demos/qgrnn
demos/qonn
demos/tutorial_expressivity_fourier_series
demos/qsim_beyond_classical
demos/quantum_volume
demos/tutorial_gbs
demos/tutorial_learning2learn