Acharya Shi, Zhan-Ah(Mr. Chen, Chao-Huang)
the Founder/Chairman of AhP-Tech Inc. 2025/10/08
Acharya “Shi, Zhan-Ah”, the founder and chairman of AhP-Tech, accepted the invitation from the chair of "The City Quantum & AI Summit", Karina Robinson, to be the co-contributor on the chapter of "International Collaboration" for the summit’s fifth anniversary white paper, and highlighted the technical capabilities on resilience that a Quantum Computing Cloud Platform provider should get ready on.
The content contributed by Acharya Shi, Zhan-Ah(Mr. Chen, Chao-Huang)
Sooner than later, the evolution of technical innovation will be driven by AI & Quantum. That future is already beginning to take shape. Working across industries, a Platform as a Service (PaaS) provider needs to be able to help companies to become resilient and stay adaptable through combining a variety of emerging technologies using both shared standards and unique, proprietary innovations.
As AI and Quantum Computing continue to advance, we need to think more carefully about the issues of Defense Migration for enterprises globally. From the perspective of an industry observer, there are many problems facing companies applying devices implemented with those emerging technologies. However, an organisation’s achievement of Defense Migration (no matter with Quantum or AI) will be evaluated and understood based on its ability to withstand, respond to, and recover from cyberattacks.
Nowadays, AI Agents have become very popular and are increasingly used in large parts of enterprise’s development-production processes. However, because AI models are trained on specific types of data, there is no one-size-fits-all model even among companies within the same industry. Besides, costs for retraining of models to ensure they stay effective need to be taken into account. On top of that, Data Penetration is another threat to breach a business’ AI engine. Few featured enterprises can deal with these challenges properly.
In Quantum computing the situation is similar. We don’t have an appliance with a standard form such as x86 or ARM architectures which are widely used in conventional computers. There are a variety of Quantum computers on the market, but none that works for generic business use. Each kind of Quantum computer may be designed for specific Quantum algorithms to solve specific problems.
The shifts in emerging technologies show that the challenges faced by enterprises who practically run their business on the application side can seldom be improved by the manufacture side or the supplier side, especially when using both AI and Quantum Computing solutions together. To succeed in this new era and become leaders in a high-tech industry, companies are usually required to get ready on more than one racetrack while internal resources may conflict.
Thus, in order to support enterprises Racing for Growth, AhP-Tech focuses on the following resilient features for a PaaS:
• Enhancing legacy cybersecurity schemes with shared standards and proprietary innovations;
• Resisting threats driven by AI & Quantum Computing;
• Performing Disaster Recovery provisioned across remote regions;
• Following compliance with global deployments;
• Customisation with API services for enterprises across different technical domains.
Read the content of the fifth anniversary white paper published by "The City Quantum & AI Summit"
As AI and Quantum Computing continue to advance, we need to think more carefully about the issues of Defense Migration for enterprises globally. From the perspective of an industry observer, there are many problems facing companies applying devices implemented with those emerging technologies. However, an organisation’s achievement of Defense Migration (no matter with Quantum or AI) will be evaluated and understood based on its ability to withstand, respond to, and recover from cyberattacks.
Nowadays, AI Agents have become very popular and are increasingly used in large parts of enterprise’s development-production processes. However, because AI models are trained on specific types of data, there is no one-size-fits-all model even among companies within the same industry. Besides, costs for retraining of models to ensure they stay effective need to be taken into account. On top of that, Data Penetration is another threat to breach a business’ AI engine. Few featured enterprises can deal with these challenges properly.
In Quantum computing the situation is similar. We don’t have an appliance with a standard form such as x86 or ARM architectures which are widely used in conventional computers. There are a variety of Quantum computers on the market, but none that works for generic business use. Each kind of Quantum computer may be designed for specific Quantum algorithms to solve specific problems.
The shifts in emerging technologies show that the challenges faced by enterprises who practically run their business on the application side can seldom be improved by the manufacture side or the supplier side, especially when using both AI and Quantum Computing solutions together. To succeed in this new era and become leaders in a high-tech industry, companies are usually required to get ready on more than one racetrack while internal resources may conflict.
Thus, in order to support enterprises Racing for Growth, AhP-Tech focuses on the following resilient features for a PaaS:
• Enhancing legacy cybersecurity schemes with shared standards and proprietary innovations;
• Resisting threats driven by AI & Quantum Computing;
• Performing Disaster Recovery provisioned across remote regions;
• Following compliance with global deployments;
• Customisation with API services for enterprises across different technical domains.
Read the content of the fifth anniversary white paper published by "The City Quantum & AI Summit"
