qml.devices¶
Warning
Unless you are a PennyLane or plugin developer, you likely do not need to use these classes directly.
See the main plugins page for more details on available plugins.
Modules
This subpackage provides default devices for PennyLane, which do not need external plugins to be installed. The default devices provide basic built-in qubit and CV circuit simulators that can be used with PennyLane without the need for additional dependencies. They may also be used in the PennyLane test suite in order to verify and test quantum gradient computations.
The default.qubit device is PennyLane’s standard qubit-based device. |
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This module contains a jax implementation of the |
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This module contains a PyTorch implementation of the |
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This module contains a TensorFlow implementation of the |
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This module contains an autograd implementation of the |
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The |
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The default.mixed device is PennyLane’s standard qubit simulator for mixed-state computations. |
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The default.qutrit device is PennyLane’s standard qutrit-based device. |
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This subpackage provides integration tests for the devices with PennyLane’s core functionalities. |
Next generation devices¶
pennylane.devices.experimental.Device
in an experimental interface for the next generation of devices that
will eventually replace pennylane.Device
and pennylane.QubitDevice
.
While the current interface pennylane.Device
is imported top level, the new pennylane.devices.experimental.Device
is
accessible from the pennylane.devices.experimental
submodule.
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A class to configure the execution of a quantum circuit on a device. |
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A device driver that can control one or more backends. |
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A PennyLane device written in Python and capable of backpropagation derivatives. |