qml.qinfo.transforms.mutual_info

mutual_info(qnode, wires0, wires1, base=None)

Compute the mutual information from a QNode returning a state():

\[I(A, B) = S(\rho^A) + S(\rho^B) - S(\rho^{AB})\]

where \(S\) is the von Neumann entropy.

The mutual information is a measure of correlation between two subsystems. More specifically, it quantifies the amount of information obtained about one system by measuring the other system.

Parameters

• qnode (QNode) – A QNode returning a state().

• wires0 (Sequence(int)) – List of wires in the first subsystem.

• wires1 (Sequence(int)) – List of wires in the second subsystem.

• base (float) – Base for the logarithm. If None, the natural logarithm is used.

Returns

A function that computes the mutual information from the output state of the QNode and accepts the same arguments.

Return type

function

Example

It is possible to obtain the mutual information of two subsystems from a QNode returning a state().

dev = qml.device("default.qubit", wires=2)

@qml.qnode(dev)
def circuit(x):
    qml.IsingXX(x, wires=[0, 1])
    return qml.state()

>>> mutual_info_circuit = qinfo.mutual_info(circuit, wires0=[0], wires1=[1])
>>> mutual_info_circuit(np.pi/2)
1.3862943611198906
>>> x = np.array(0.4, requires_grad=True)
>>> mutual_info_circuit(x)
0.3325090393262875
>>> qml.grad(mutual_info_circuit)(np.array(0.4, requires_grad=True))
1.2430067731198946

See also

vn_entropy(), pennylane.math.mutual_info() and pennylane.mutual_info()

code/api/pennylane.qinfo.transforms.mutual_info

 

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