**開發環境處理**

1. 啟動虛擬環境，或者不要開虛擬環境直接用也沒差
系統版本：
python 3.11.5
pip 23.2.1

2. 安裝套件

$ pip install conda-forge::qiskit-ibm-runtime
$ pip install matplotlib
$ pip install qiskit
$ pip install qiskit[visualization]

注意：不要使用conda，很容易出問題，弄起來太麻煩。

3.用Jupyter Notebook會比較方便看各個結果
IBM Quantum提供的Code如下：

%matplotlib inline

# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, QuantumRegister, Aer, execute, IBMQ
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import *
# from ibm_quantum_widgets import *  ###### Desperated

# qiskit-ibmq-provider has been deprecated.
# Please see the Migration Guides in https://ibm.biz/provider_migration_guide for more detail.
from qiskit_ibm_runtime import QiskitRuntimeService, Sampler, Estimator, Session, Options

Reference:
[用conda建立及管理python虛擬環境](https://medium.com/python4u/%E7%94%A8conda%E5%BB%BA%E7%AB%8B%E5%8F%8A%E7%AE%A1%E7%90%86python%E8%99%9B%E6%93%AC%E7%92%B0%E5%A2%83-b61fd2a76566)
量子電腦與量子計算｜IBM Q Experience實作