The Simulator device

You can instantiate the qulacs device in PennyLane as follows:

import pennylane as qml

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

This device can then be used just like other devices for the definition and evaluation of QNodes within PennyLane. A simple quantum function that returns the expectation value of a measurement and depends on three classical input parameters would look like:

@qml.qnode(dev)
def circuit(x, y, z):
    qml.RZ(z, wires=[0])
    qml.RY(y, wires=[0])
    qml.RX(x, wires=[0])
    qml.CNOT(wires=[0, 1])
    return qml.expval(qml.PauliZ(wires=1))

You can then execute the circuit like any other function to get the quantum mechanical expectation value.

circuit(0.2, 0.1, 0.3)

Device options

To run the qulacs device simulations on a GPU, set the custom qpu argument to True when creating the device.

dev = qml.device('qulacs.simulator', wires=2, gpu=True)

Note

For GPU support, you need to have the qulacs-gpu version installed, including its dependencies. Check the Qulacs documentation for details.

If you create the device with gpu=True but you do not have qulacs-gpu installed you will get an error GPU not supported with installed version of Qulacs..

Supported operations

The qulacs.simulator device supports all PennyLane operations and observables:

devices/simulator

 

Download Python script

 

Download Notebook

 

View on GitHub