| Time | Event | Speaker(s) |
|---|
| 8:00 am – 8:30 am | Arrival & Networking | |
| 8:30 am – 9:00 am | Welcome Remarks | |
| 9:00 am – 10:00 am | Talk | Jerome Busemeyer |
| 10:00 am – 10:30 am | Talk | Rebekah Herrman |
| 10:30 am – 10:45 am | Morning Break | |
| 10:45 am – 11:30 am | Talk | Samuel Yen-Chi Chen |
| 11:30 am – 12:15 pm | Talk | Swati Gupta |
| 12:15 pm – 2:00 pm | Lunch & Poster Session | |
| 2:00 pm – 3:00 pm | Talk | Bob Coecke |
| 3:00 pm – 3:30 pm | Talk | Gokul Ravi |
| 3:30 pm – 3:45 pm | Afternoon Break | |
| 3:45 pm – 4:30 pm | Talk | Giacomo Nannicini |
| 4:30 pm – 5:00 pm | Talk | Ruizhe Zhang |
| 5:00 pm – 5:15 pm | Break | |
| 5:15 pm – 6:00 pm | Session 1: Quantum Machine Learning & Reinforcement Learning | |
| Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach (Xu, Aggarwal) | |
| Satellite Constellation Scheduling with Quantum Reinforcement Learning (Kim, et al.) | |
| Compact Quantum Modules for Scalable Fine-Tuning in Large Language Models (Roh, Kim) | |
| 5:15 pm – 6:00 pm | Session 2: Quantum Applications in Finance & Industry | |
| Financial Fraud Detection with Entropy Computing (Emami, et al.) | |
| Geometric Origin of Fourier Coefficients in Data-Reuploading Single-Qubit Circuits (Oh, et al.) | |
| Quantum Kernel Methods for Industrial Anomaly Detection (Tomono) | |
| Time | Session | Speaker(s) |
|---|
| 8:00 am – 8:25 am | Arrival & Networking | |
| 8:25 am – 8:30 am | Announcements & Introduction | |
| 8:30 am – 9:15 am | Talk | Ken Robbins |
| 9:15 am – 9:45 am | Talk: Roles of Human-Computer Interaction for Quantum Computing
| Hyeok Kim |
| 9:45 am – 10:00 am | Morning Break | |
| 10:00 am – 10:30 am | Talk: Quantum Algorithms at JPMorganChase: New Mechanisms for Quantum Speedup in Optimization | Shouvanik Chakrabarti |
| 10:30 am – 11:00 am | TBD | |
| 11:00 am – 11:15 am | Talk | David Stewart |
| 11:15 am – 11:30 am | Break | |
| 11:30 am - 12:30 pm | Session 3: Quantum Algorithms for Optimization | |
| Quantum Optimization via Gradient-Based Hamiltonian Descent (Leng, Shi) | |
| Quantum Interior Point Methods: A Review of Developments and an Optimally Scaling Framework (Mohammadisiahroudi, et al.) | |
| Amplitude Amplification for Quadratic Unconstrained Binary Optimization with Regression Based Neural Network Bootstrapping (Kearse, Koch) | |
| Discrete Optimization using Tensor Ring Sampled Variational Quantum Eigensolver (Park, et al.) | |
| 11:30 am – 12:30 pm | Session 4: Quantum Hardware & Simulation | |
| Benchmarking Hamiltonian Simulation Using Graphical Processing Units (Ramesh, et al.) | |
| Robustness of Classical and Quantum Inspired Architectures Against Structured Corruptions in Vision Tasks (Gauba, Gauba) | |
| A Performance Comparison of Variable Encoding Techniques for QUIO and QUBO Problems (Xavier, et al.) | |
| Benchmarking Refined Quantum Linear Systems Algorithms (Harkness, et al.) | |
| 12:40 pm – 1:00 pm | Closing Remarks | |
