Introduces the Quantum Recurrent Unit (QRU), a NISQ-compatible quantum neural network inspired by classical Gated Recurrent Units, achieving constant circuit depth regardless of input sequence length. Validated across multiple benchmarks, QRU matches or outperforms classical networks with a fraction of the parameters — reaching 98.05% MNIST accuracy with just 132 parameters vs. a 27,265-parameter CNN.

To be announced.

An exploration of how quantum neural networks can be leveraged to make reinforcement learning more efficient.

Co-presenting with Prof. Ming-Fong Sie in a dual panel on QAI applications in finance and feature selection.

Co-presenting with Prof. Shih-Wei Liao in a dual panel on QAI applications in finance and feature selection.

A mathematical framework for constructing basis vectors that achieve maximum entanglement across N-qubit quantum systems.

For the upcoming space exploration era, advanced AI feature extraction/learning becomes increasingly critical for satellite data understanding. Quantum deep network (QUEEN) offers counterpart feature information to be fused with classical ones for better decision-making. Module design philosophy and applications to remote sensing and bioinformatics will be presented.

Covers the computation of analytical gradients in Variational Quantum Algorithms (VQA) — a key technique for efficiently training quantum circuits on near-term NISQ hardware. Also introduces QISCA (Quantum Information Science Club Association), Korea's largest student-led quantum organization: a nationwide coalition of clubs from eight top universities including KAIST, Seoul National University, and Yonsei University. Wonjun Baek, QISCA President, will share the organization's mission to connect students across disciplines through seminars, seasonal schools, lab visits, and annual conferences.

An introduction to the NTU Quantum Club — its mission, community, and vision for the next chapter, presented alongside Austin Hua.

Welcome to SQAI 2026 and opening remarks, followed by a presentation of Austin's vision paper on quantum ultracomputing and the path to Artificial Ultraintelligence. Also presents on Ultracompute and AUI in the NTUQC-SQAI Student Panel, and co-presents NTUQC introduction with Chao Hsien in the afternoon.