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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 Computing, Quantum AI, Quantum Machine Learning, Quantum Federated Learning, Cybersecurity, Cryptography
Publication:
Will soon be submitted to the journal. Many thanks to my advisor and Dr. Isaac De Vlugt of Xanadu PennyLane.
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
All-IN-ONE ~ Quantum Computing and Machine Learning
Nov 9, 2023 01:16 PM
数学工具概念记录
Jun 17, 2024 12:53 PM
IBM Quantum Challenge 2024
Jun 13, 2024 07:18 AM
Cryptography—论文阅读记录
Apr 14, 2022 12:11 PM
Mar 17, 2022 03:54 AM
信息安全
Mar 19, 2024 08:11 AM
Tailscale 群晖安装 矿神套件
Mar 23, 2024 02:05 PM
WSL2 Conda Tensorflow问题记录
Apr 14, 2024 04:28 AM
CVPR 2022-2024
Oct 27, 2024 06:44 AM