Qulacs device

The orquestra.qulacs device provided by the PennyLane-Orquestra plugin allows you to use PennyLane to deploy and run your quantum machine learning models on the Qulacs simulator Qulacs.

You can instantiate a 'orquestra.qulacs' device for PennyLane with:

import pennylane as qml
dev = qml.device('orquestra.qulacs', 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)

devices/qulacs

 

Download Python script

 

Download Notebook

 

View on GitHub