Hi everyone, I couldn’t find which ansatz is the following circuit. Because I am trying to understand why to use Rotation, Squeezing, Displacement and Kerr. Can you help me? Thanx

```
def layer(v):
# Matrix multiplication of input layer
qml.Rotation(v[0], wires=0)
qml.Squeezing(v[1], 0.0, wires=0)
qml.Rotation(v[2], wires=0)
# Bias
qml.Displacement(v[3], 0.0, wires=0)
# Element-wise nonlinear transformation
qml.Kerr(v[4], wires=0)
@qml.qnode(dev)
def quantum_neural_net(var, x=None):
# Encode input x into quantum state
qml.Displacement(x, 0.0, wires=0)
# "layer" subcircuits
for v in var:
layer(v)
return qml.expval(qml.X(0))
```