SS1: Quantum Circuit Compilation for Trapped-Ion Processors with the Drive-Through Architecture
Che-Ming Chang, Dah-Wei Chiou (National Taiwan University), Ting Hsu, Guin-Dar Lin (Hon-Hai Research Institute) and Jie-Hong Roland Jiang (National Taiwan University)
SS2: Quantum DNA Mismatch Algorithm: A Solution based on Grover’s Algorithm
Hitesh Kalluru and Pushpa P.V (Dayananda Sagar University)
SS3: Time-Optimal ZZ-Interaction Control on Rydberg Atom Arrays
Enhyeok Jang and Won Woo Ro (Yonsei University)
SS4: Quantum Innovation: GCN-Enhanced QAOA for Ground State Optimization in Ising Models
Rebecca Tsekanovskiy and Michael Halpern (Rensselaer Polytechnic Institute)
SS5: Harnessing Reinforcement Learning and Graph Neural Networks for Noise-Aware Quantum Circuit Mapping and Partitioning
Mohammad Walid Charrwi, Georgios Ioannou and Samah Saeed (City College of New York, City University of New York)
SS6: Graph Neural Network-Driven Quantum Hardware Reliability: One for Many
Georgios Ioannou, Gopika Kizhuvettil, Christian Rasmussen, Mohammad Walid Charrwi and Samah Saeed (City College of New York, City University of New York)
SS7: Reinforcement Learning for Quantum Circuit Design
Zhiyuan Wang, Chunlin Feng, Lijian Huang, Xingjian Zhao, Yao Ma and Xiao-Yang Liu (Rensselaer Polytechnic Institute)
SS8: Quantum Optimization for Dynamic Incentive-Driven Electric Vehicle Charging Resource Allocation
Syed Farhan Ahmad, Leila Hajibabai and Gregory T. Byrd (North Carolina State University)
SS9: Quantum-inspired Reinforcement Learning for Synthesizable Drug Design
Dannong Wang (Rensselaer Polytechnic Institute), Jintai Chen (UIUC), Zhiding Liang, Tianfan Fu and Xiao-Yang Liu (Rensselaer Polytechnic Institute)
SS10: FPGA-based Function Generator for Quantum Gates Emulation
Youngsoo Kim (University of Minnesota Duluth)
SS11: Hybrid Quantum Downsampling Networks
Yifeng Peng (Stevens Institute of Technology), Zhiding Liang (Rensselaer Polytechnic Institute) and Ying Wang (Stevens Institute of Technology)
SS12: Stock Portfolio Optimization that Uses MaxCut and Quantum Approximate Optimization Algorithm
Holden Mac Entee and Levy Lin (Rensselaer Polytechnic Institute)
SS13: Quantum Leap: Evaluating the Feasibility of Quantum Machine Learning Using NASA Earth Observational Data
Thilanka Munasinghe (Rensselaer Polytechnic Institute (RPI) / NASA / UAlbany), Jennifer Wei (NASA Goddard Space Flight Center (NASA GSFC)), Lai Phung (State University of New York at Albany), Jim Hendler (Rensselaer Polytechnic Institute) and Kimberly Cornell (State University of New York at Albany)