第13章ハイブリッドマルチクラウドのデジタルソリューション開発

Quantum computing is impacting industries throughout the world and improving global operations in fields such as banking, health care, manufacturing, and transportation. For example, quantum computing has been used to develop new drugs, design aircraft that are safer and more efficient, provide more robust encryption and online security, and predict the weather with greater accuracy. Quantum computing has the ability to solve problems faster and more effectively compared to classical computing.

In 2023, the value of quantum computing’s global market size was $885.4 million (USD), and it is expected to increase to $12.6 billion by 2032, representing a growth of 34.8%. While North America currently holds the largest share of the quantum computing market, other parts of the world, particularly Europe and Asia, are expected to grow over the next few years.

Intelligent autonomous networked systems and supersystems leverage the various supersociety technologies discussed so far. However, one of the missing links appears to be the lack of understanding of what drives human reasoning and planning, which has led to the inability to mimic it to create systems based on artificial general intelligence (AGI). Also, the current approach to deep learning requires using a very large amount of data to train machine learning algorithms and create usable models, which are extremely time-consuming, as well as requiring tremendous resources such as data and processing power. Researchers are striving to come up with solutions to these problems.

IANS have the potential to leverage the innovative capabilities of AI, ML, edge computing, and virtualization to offer better human experiences in interconnectivity. Compared to automated networks, which have explicitly defined inputs and outputs in predictable environments, autonomous networks improve operations when functioning in unpredictable environments with conditions lacking inputs and outputs that can be tested in advance. With IANS, the systems can learn and adapt as conditions change, adjusting to meet whatever needs arise. AGIs are particularly useful in this environment, as they have the ability to work independently, adapting and making adjustments as needed when conditions change.

Knowledge management and reuse of processes and information are being looked into as well. A possible approach to facilitate reasoning in the AGI grand scheme consists of using an open world decentralized hybrid multicloud repository that can be accessed by swarm cognitive robots. These robots could reuse/share their knowledge and adapt their individual behavior in real time according to the context in which they operate.