Accenture Global Solutions Limited (20240378474). MULTI CLOUD NETWORK VERIFICATION USING QUANTUM MACHINE LEARNING simplified abstract

MULTI CLOUD NETWORK VERIFICATION USING QUANTUM MACHINE LEARNING

Organization Name

Accenture Global Solutions Limited

Inventor(s)

Debashish Roy of Covina CA (US)

Jefferson Wang of Rolling Hills Estates CA (US)

MULTI CLOUD NETWORK VERIFICATION USING QUANTUM MACHINE LEARNING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240378474 titled 'MULTI CLOUD NETWORK VERIFICATION USING QUANTUM MACHINE LEARNING

The abstract describes a method for multi-cloud network verification using quantum machine learning.

• Obtaining network data from the network, including monitoring and configuration data.
• Generating data representing invariant properties of the network.
• Creating a multi-layer graph model of the network.
• Using a quantum machine learning decision engine to select network verification mechanisms.
• Initiating a live check of the network to validate it.

Potential Applications: - Network security - Cloud computing - Data center management

Problems Solved: - Ensuring network reliability - Enhancing network security - Improving network performance

Benefits: - Increased network efficiency - Enhanced security measures - Real-time network validation

Commercial Applications: Title: Quantum Machine Learning for Network Verification This technology can be used by IT companies, cloud service providers, and data centers to enhance network security and performance, leading to improved customer satisfaction and trust in their services.

Questions about Multi-Cloud Network Verification using Quantum Machine Learning: 1. How does quantum machine learning improve network verification processes? 2. What are the key advantages of using a multi-layer graph model for network verification?

Frequently Updated Research: Stay updated on the latest advancements in quantum machine learning and network verification to ensure optimal performance and security in your network infrastructure.

Original Abstract Submitted

methods, systems, and apparatus for multi-cloud network verification using quantum machine learning. in one aspect, a method includes obtaining, by a classical computer, network data from the network, wherein the network data comprises network monitoring data and network configuration data; processing, by the classical computer, the network data to generate data that represents invariant properties of the network; processing, by the classical computer, the network data to generate a multi-layer graph model of the network; processing, by a quantum computer, the data that represents invariant properties of the network and the multi-layer graph model of the network using a quantum machine learning decision engine to select one or more network verification mechanisms for the network; and initiating a live check of the network using the verification mechanisms to validate the network.