I am trying to solve an optimization problem with QAOA method but when I run this part:

dev = qml.device(“qulacs.simulator”, wires=wires)

@qml.qnode(dev)
def cost_function(params):
circuit(params)
return qml.expval(cost_h)

I give this error:
DeviceError: Device qulacs.simulator does not exist. Make sure the required plugin is installed.

I tried to update pennylane and this is my qml.about():

Name: PennyLane
Version: 0.36.0
Summary: PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Home-page: https://github.com/PennyLaneAI/pennylane
Author:
Author-email:
License: Apache License 2.0
Location: /Users/fatemeghavidel/anaconda3/lib/python3.11/site-packages
Requires: appdirs, autograd, autoray, cachetools, networkx, numpy, pennylane-lightning, requests, rustworkx, scipy, semantic-version, toml, typing-extensions
Required-by: PennyLane-qiskit, PennyLane_Lightning

Platform info: macOS-13.3-arm64-arm-64bit
Python version: 3.11.4
Numpy version: 1.23.5
Scipy version: 1.10.1
Installed devices:

• default.clifford (PennyLane-0.36.0)
• default.gaussian (PennyLane-0.36.0)
• default.mixed (PennyLane-0.36.0)
• default.qubit (PennyLane-0.36.0)
• default.qubit.autograd (PennyLane-0.36.0)
• default.qubit.jax (PennyLane-0.36.0)
• default.qubit.legacy (PennyLane-0.36.0)
• default.qubit.tf (PennyLane-0.36.0)
• default.qubit.torch (PennyLane-0.36.0)
• default.qutrit (PennyLane-0.36.0)
• default.qutrit.mixed (PennyLane-0.36.0)
• null.qubit (PennyLane-0.36.0)
• lightning.qubit (PennyLane_Lightning-0.36.0)
• qiskit.aer (PennyLane-qiskit-0.35.1)
• qiskit.basicaer (PennyLane-qiskit-0.35.1)
• qiskit.ibmq (PennyLane-qiskit-0.35.1)
• qiskit.ibmq.circuit_runner (PennyLane-qiskit-0.35.1)
• qiskit.ibmq.sampler (PennyLane-qiskit-0.35.1)
• qiskit.remote (PennyLane-qiskit-0.35.1)