The speaker, John C. S. Lui, is a professor in the Department of Computer Science and Engineering at The Chinese University of Hong Kong. The theme of this lecture was 'Quantum Internet: The Final Frontier,' which aimed to encourage young scholars and students to expand their research horizons beyond the currently overcrowded field of Artificial Intelligence (AI) / Large Language Models (LLM), and to focus on foundational research in the Quantum Internet, which holds greater long-term significance.

Professor Lui pointed out that the research focus over the past few years has been concentrated on AI and LLM, leading to extremely fierce competition in this field. He urged everyone to 'think beyond AI' and turn toward the Quantum Internet, as it represents a domain with profound impact. He emphasized that success in quantum computing will allow nations or companies to leapfrog their competitors, because a problem that would take an optimal classical computer 120 years to solve might only take a quantum computer one month. Key applications of the Quantum Internet include Quantum Key Distribution (QKD) to ensure communication security, as well as achieving high-resolution sensing. Professor Lui briefly introduced the core concepts of quantum mechanics to audience members without a physics background, emphasizing that entering this field only requires mastering linear algebra, particularly Hilbert space involving complex numbers. The bedrock of the Quantum Internet is Quantum Entanglement, which allows the sharing of perfect randomness to serve as secret keys. Since the probability of successfully transmitting quantum information over long distances decays exponentially, the technology of Quantum Repeaters is crucial. It overcomes distance limitations through entanglement swapping, improving the success rate of establishing end-to-end entanglement.

In network protocol design, Professor Lui applied Online Learning theory, specifically the concepts of MAB algorithms, to solve practical challenges. In the quantum path selection problem, network links are treated as 'arms' in the MAB model. The research team designed an algorithm that estimates link fidelity through bouncing benchmark operations and utilizes confidence intervals from Hoeffding's inequality to eliminate inferior links. Experimental results show that, compared to traditional methods, their algorithm can efficiently and accurately find the optimal link with significantly fewer quantum resources (number of bounces). Furthermore, to solve the future decentralized global routing problem among multiple quantum ISPs, they explored the Quantum Border Gateway Protocol (QBGP). QBGP aims to maintain and select the path with the highest fidelity, similarly leveraging MAB-like online learning algorithms to proactively select and optimize these paths, thereby reducing required quantum resources and increasing network throughput.

In his conclusion, Professor Lui likened current Quantum Internet research to the early stages of internet research in the 1960s and 70s, which was full of challenges and opportunities. He believes that the 'quantum circuit' structure of quantum computers provides researchers with a second chance to redesign foundational computing tools such as quantum programming languages and quantum compilers. He encouraged young scholars to choose to be pioneers, because this is a field with less competition, plenty of low-hanging fruits, and long-lasting research directions. Although there is currently less research funding coming from companies, he believes that focusing on foundational and meaningful research will be far more valuable than pursuing short-term hot topics in the crowded AI field.