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qulacs.simulator

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  • GPU (simulator)
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  • Linux
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The qulacs.simulator device in the PennyLane-Qulacs plugin provides access to performant state vector simulations on Qulacs backends.

Recommended for:

  • CPU and GPU support.
  • Fast qubit simulations with a parallelized C/C++ backend.
  • Workloads involving more than 20 qubits.
  • All operating systems.

Documentation

To learn more, please visit the device documentation:

  • qulacs.simulator documentation
  • See an overview of the PennyLane-Qulacs plugin.

Installation

The qulacs.simulator device can be installed with:

pip install pennylane-qulacs["cpu"]

Note that you need to include whether to install the CPU version (pennylane-qulacs["cpu"]) or the GPU version (pennylane-qulacs["gpu"]) of Qulacs for it to be installed correctly. Otherwise Qulacs will need to be installed independently:

pip install pennylane-qulacs

For more details on installation and dependencies, visit the PennyLane-Qulacs installation page.


Device Initialization

Initialize the device in PennyLane with:

import pennylane as qml dev = qml.device('qulacs.simulator', wires=2)

For more details on device settings and keyword arguments, see the device documentation.


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PennyLane is an open-source software framework for quantum machine learning, quantum chemistry, and quantum computing, with the ability to run on all hardware. Built with ❤️ by Xanadu.

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