Program of QC4C3

Program Overview

Opening Remarks (10 minutes)

• Welcome from organizers
  
  

• Workshop scope: quantum optimization, quantum ML, hybrid systems
  
  

Session 1: Quantum Optimization & Annealing Applications (60 minutes)

3 papers — 20 minutes each (15 min talk + 5 min Q&A)

• QUBO-Based Wildfire Evacuation Host Community Selection Using a Quantum-Inspired GPU Annealer
  
  

• Annealing-based Approach to Solving Partial Differential Equations
  
  

• Benchmarking Classical and Quantum Optimization Approaches for Rider–Order Assignment
  
  

Session 2: Quantum Systems, Infrastructure & Simulation (60 minutes)

3 papers — 20 minutes each (15 min talk + 5 min Q&A)

• A Model Context Protocol Server for Quantum Execution in Hybrid Quantum-HPC Environments
  
  

• Scalable Tensor-Network Simulation for Quantum–Classical Dual Kernel
  
  

• Quantum Walk-based Hash Function: Scalable Readout for Proof of Quantum Work
  
  

Coffee Break (15 minutes)

Invited Talk (45 minutes)

• Invited Speaker: TBD
  
  

• Suggested format: 35–40 min talk + 5–10 min Q&A
  
  

• Possible themes:
  
  

  • Quantum advantage in optimization/learning
    
    

  • Hybrid workflows at scale
    
    

  • Lessons from real hardware deployments
    
    

  • Practical benchmarking in quantum–HPC
    
    

Session 3: Quantum Machine Learning Architectures (40 minutes)

2 papers — 20 minutes each (15 min talk + 5 min Q&A)

• Hybrid Quantum Temporal Convolutional Networks
  
  

• Q-DIVER: Integrated Quantum Transfer Learning and Differentiable Quantum Architecture Search with EEG Data
  
  

Short Break (10 minutes)

Session 4: Quantum Learning & Scientific Discovery (40 minutes)

2 papers — 20 minutes each (15 min talk + 5 min Q&A)

• MADQRL: Distributed Quantum Reinforcement Learning Framework for Multi-Agent Environments
  
  

• High-Order Epistasis Detection Using Factorization Machine with Quadratic-Optimization Annealing and MDR-Based Evaluation
  
  

Session 5: Panel / Open Discussion & Closing (30 minutes)

• Discussion topics: quantum acceleration for HPC workloads; hybrid integration in practice; benchmarking/metrics; defining practical “quantum advantage” in HPC contexts
  
  

• Closing: key insights, acknowledgments, and next steps (follow-up workshops/special issues/benchmarking efforts)