Let us begin this chapter with hybrid quantum algorithms and hybrid runtimes, workflows to integrate hybrid quantum applications, and source of origin to monitor and analyze the workflows. Quantum programming resolves the security risk assessment, anomalies, and management strategy. Subsequently, this chapter discusses an open-source package for implementing parameterized quantum circuits used in variational quantum algorithms (QVAs) and quantum machine learning (QML) algorithms. Quantum programming proposes as well motivates the researchers to use XOR-And-Inverter (XAG) for executing quantum compilation. In continuation to quantum computing, network security intrusion detection has been explored using quantum machine learning methods. It is proved that the QML methods are applied to analyze on a high traffic data streaming network in the cloud or server environment.