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quantum computing

5 papers across 3 sessions

Poster Session 1

1 paper
Wednesday, December 3, 2025 · 11:00 AM → 2:00 PM
Exhibit Hall C,D,E
AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation
#2203 · Xinbiao Wang, Yuxuan Du, Zihan Lou, Yang Qian, Kaining Zhang, Yong Luo, Bo Du, Dacheng Tao

We propose an automatica data engine framework for quantum property estimation under limited quantum resources.

Poster Session 2

2 papers
Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM
Exhibit Hall C,D,E
Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods
#711 · Junhyung Lyle Kim, Brandon Augustino, Dylan Herman, Enrico Fontana, Jacob Watkins, Marco Pistoia, Shouvanik Chakrabarti
Quantum Speedups for Minimax Optimization and Beyond
#713 · Chengchang Liu, Zongqi Wan, Institute of Computing Jialin Zhang, Institute of Computing Xiaoming Sun, John C. S. Lui

Poster Session 6

2 papers
Friday, December 5, 2025 · 4:30 PM → 7:30 PM
Exhibit Hall C,D,E
Quantum speedup of non-linear Monte Carlo problems
#607 Spotlight · Jose Blanchet, Yassine Hamoudi, Mario Szegedy, Guanyang Wang

A near-optimal quantum-accelerated Monte Carlo estimator for nested expectations
QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design
#2115 · Rui Yang, Ziruo Wang, Yuntian Gu, Yitao Liang, Tongyang Li