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Basically, my research areas focus on Artificial Intelligence and Cross-disciplinary Topics.

My primary research focuses on exploring how to demonstrate the practical advantages of quantum technology. I am particularly interested in methods that efficiently encode classical information as quantum information using fewer quantum resources. For example, to make quantum federated learning viable in real-world applications, the number of communications in quantum networks should be minimised, and the quantum data obtained from other participants must be robust.

I am also exploring how to incorporate the benefits of quantum technology into Trustworthy AI. I believe that trusted models are one of the most important areas of direction in satisfying the need for trustworthiness in finance and material analysis.

Research interests:

Quantum Information, Quantum Machine Learning, Quantum Algorithms, Artificial Intelligence, Cybersecurity

Publication:

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Open source code will be provided.

ORCID iD: 0009-0009-6531-3319

处理排版中，会将部分内容放在Medium平台。

Notion官方提供了Blog设计方案，后面会放新的页面。

Contact: contact@aquai.org

All pages are under CC BY 4.0 DEED.

Blog Posts

Quantum Algorithms