Acharya Shi, Zhan-Ah(釋湛阿 阿闍梨）
阿證科技 創辦人暨董事長 2025/10/08 發布
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.
阿證科技創辦人暨董事長 釋湛阿 阿闍梨接受『倫敦金融城量子與人工智慧高峰會』主席Karina Robinson女士邀請擔任峰會五週年紀念白皮書第四章節「國際合作」之共同撰稿人，揭櫫量子運算雲端平台所應具備之韌性技術能力。
The content contributed by Acharya Shi, Zhan-Ah(Mr. Chen, Chao-Huang)
圖：峰會五週年紀念白皮書 釋湛阿 阿闍梨撰稿內容原文
圖：峰會五週年紀念白皮書 釋湛阿 阿闍梨撰稿內容原文
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"
創辦人暨董事長 釋湛阿 阿闍梨撰稿內容，中文翻譯如下：
人工智慧和量子技術很快就會推動技術創新的演進，而此一未來正在成形。跨產業的平台即服務 (PaaS) 供應商需要有能力藉由整合各種新興技術，運用共同標準和獨到的自有創新，來幫助企業強化韌性並保持對環境的適應力。隨著人工智慧和量子運算的不斷發展，我們需要更深入地思考全球企業的防禦升級問題。從產業觀察者的角度來看，企業在應用這些新興技術所實作的設備時面臨許多問題。然而，組織在防禦升級方面的成效（無論是運用量子技術還是人工智慧）將基於其抵禦、回應和從網路攻擊中恢復的能力被評估與了解。
時至今日，人工智慧代理大受歡迎，並且越來越多地被應用於企業大部分的開發和產線流程中。然而，由於人工智慧模型是基於特定類型的資料進行訓練的，因此即使在同一行業的公司之間，也沒有放之四海皆準的模型。此外，還需要考慮重新訓練模型以確保其有效性的成本。尤有甚者，資料滲透會是另一個破壞企業人工智慧引擎的威脅。很少有具獨特性的企業能夠妥善應對這些挑戰。
量子運算領域的情況類似。我們並沒有像一般電腦中所廣泛使用的 x86 或ARM 架構那樣具有標準規範的裝置。市面上有各式各樣的量子電腦，但沒有任何一種適用於一般商業用途。每種量子電腦都可能針對特定的量子演算法進行設計，用於解決特定的問題。
新興科技的轉變顯示出，實際在應用端運作的企業所面臨的挑戰很少能夠由製造端或供應商端來改善，尤其是在同時使用人工智慧和量子運算解決方案的情況下。為了在新時代取得成功並在一個高科技產業中成為領導者，企業通常需要在多個賽道上做好準備，但內部資源卻可能有所衝突。
因此，為了支援企業能在競爭中成長，阿證科技專注於具有以下韌性特色的服務平台：
• 以共同標準與自主創新來強化傳統網路安全方案的能力；
• 抵禦人工智慧和量子運算威脅的能力；
• 跨遠端區域執行災難復原的能力；
• 對於全球部署遵循合規性的能力；
• 為不同技術領域的企業提供客製化 API 服務的能力。
閱讀『倫敦金融城量子與人工智慧高峰會』五週年紀念白皮書內容
