Supported devices¶
Not all PennyLane devices currently work with Catalyst, and for those that do, their supported
feature set may not necessarily match supported features when used without qjit().
Supported backend devices include:
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A fast state-vector qubit simulator written with a C++ backend. See the Lightning documentation for more details, as well as its Catalyst configuration file for natively supported instructions. |
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A fast state-vector qubit simulator utilizing the Kokkos library for CPU and GPU accelerated circuit simulation. See the Lightning documentation for more details, as well as its Catalyst configuration file for natively supported instructions. |
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Interact with quantum computing hardware devices and simulators through Amazon Braket. To use this device with Catalyst, make sure to install the PennyLane-Braket plugin. See the Catalyst configuration file for natively supported instructions. |
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Run gate-based circuits on the Braket SDK’s local simulator. To use this device with Catalyst, make sure to install the PennyLane-Braket plugin. See the Catalyst configuration file for natively supported instructions. |
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Qrack is a GPU-accelerated quantum computer simulator with many novel optimizations including hybrid stabilizer simulation. To use this device with Catalyst, make sure to install the PennyLane-Qrack plugin, and check out the QJIT compilation with Qrack and Catalyst tutorial. See the Catalyst configuration file for natively supported instructions. |
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Execute on Oxford Quantum Circuits (OQC) superconducting hardware,
via OQC Cloud. To use OQC Cloud with Catalyst, simply install the
client, ensure your credentials are set as
environment variables, and use the import os
os.environ["OQC_EMAIL"] = "your_email"
os.environ["OQC_PASSWORD"] = "your_password"
os.environ["OQC_URL"] = "oqc_url"
dev = qml.device("oqc.cloud", backend="lucy", shots=2012, wires=2)
See the Catalyst configuration file for natively supported instructions. |