Here you can discover the basic tools needed to use PennyLane through simple demonstrations. Learn about training a circuit to rotate a qubit, machine learning tools to optimize quantum circuits, and introductory examples of photonic quantum computing.
.. gallery-item::
:tooltip: Use quantum machine learning to rotate a qubit.
:figure: demonstrations/qubit_rotation/bloch.png
:description: :doc:`demos/tutorial_qubit_rotation`
:tags: autograd
.. gallery-item::
:tooltip: Compare the parameter-shift rule with backpropagation.
:figure: demonstrations/tutorial_backprop_thumbnail.png
:description: :doc:`demos/tutorial_backprop`
:tags: tensorflow autograd
.. gallery-item::
:tooltip: Learn how to compute gradients of quantum circuits with the adjoint method.
:figure: demonstrations/adjoint_diff/icon.png
:description: :doc:`demos/tutorial_adjoint_diff`
:tags:
.. gallery-item::
:tooltip: Use quantum machine learning in a multi-device quantum algorithm.
:figure: demonstrations/plugins_hybrid/photon_redirection.png
:description: :doc:`demos/tutorial_plugins_hybrid`
:tags: autograd photonics strawberryfields
.. gallery-item::
:tooltip: Simulate noisy quantum computations.
:figure: demonstrations/noisy_circuits/N-Nisq.png
:description: :doc:`demos/tutorial_noisy_circuits`
:tags: beginner
.. gallery-item::
:tooltip: Use quantum machine learning to tune a beamsplitter.
:figure: demonstrations/gaussian_transformation/gauss-circuit.png
:description: :doc:`demos/tutorial_gaussian_transformation`
:tags: autograd photonics
.. gallery-item::
:tooltip: Parallelize gradient calculations with Amazon Braket
:figure: _static/pl-braket.png
:description: :doc:`demos/braket-parallel-gradients`
:tags: braket
.. gallery-item::
:tooltip: Learn how to use JAX with PennyLane.
:figure: demonstrations/jax_logo/jax.png
:description: :doc:`demos/tutorial_jax_transformations`
:tags: beginner
.. gallery-item::
:tooltip: Learn how to create hybrid ML models using Keras
:figure: _static/Keras_logo.png
:description: :doc:`demos/tutorial_qnn_module_tf`
:tags: tensorflow
.. gallery-item::
:tooltip: Learn how to create hybrid ML models using Torch
:figure: _static/PyTorch_icon.png
:description: :doc:`demos/tutorial_qnn_module_torch`
:tags: pytorch
.. gallery-item::
:tooltip: Do arbitrary state preparation on a real quantum computer.
:figure: demonstrations/state_preparation/NOON.png
:description: :doc:`demos/tutorial_state_preparation`
:tags: pytorch
.. gallery-item::
:tooltip: Extend PyTorch with real quantum computing power.
:figure: demonstrations/pytorch_noise/bloch.gif
:description: :doc:`demos/pytorch_noise`
:tags: forest pytorch
.. gallery-item::
:tooltip: Learn how noise can affect the optimization and training of quantum computations.
:figure: demonstrations/noisy_circuit_optimization/noisy_circuit_optimization_thumbnail.png
:description: :doc:`demos/tutorial_noisy_circuit_optimization`
:tags: cirq
.. toctree::
:maxdepth: 2
:caption: Getting Started
:hidden:
demos/tutorial_qubit_rotation
demos/tutorial_backprop
demos/tutorial_plugins_hybrid
demos/tutorial_noisy_circuits
demos/tutorial_gaussian_transformation
demos/braket-parallel-gradients
demos/tutorial_jax_transformations
demos/tutorial_qnn_module_tf
demos/tutorial_qnn_module_torch
demos/tutorial_state_preparation
demos/pytorch_noise
demos/tutorial_noisy_circuit_optimization