FOUNDATIONS OF HYBRID ARCHITECTURES & COMPUTATIONAL PHYSICS
14:30 – 16:00
Session B1 – HPC Architectures for Quantum–AI Workloads
- Heterogeneous compute stacks (CPU–GPU–QPU)
- Exascale orchestration for quantum jobs
- Multi-node quantum scheduling (MPI–QPU integration)
- Cryogenic control infrastructure and data flow
- Memory wall, latency models and coherence constraints
Mathematical / architectural content:
- Roofline models for hybrid workloads
- QPU offload paradigms
- Multi-QPU graph partitioning for Ising embeddings
Scientific value: define the computational structure of the future.
16:30 – 18:00
Session B2 – Mathematical Operators for Cross-Domain Computation
- Carleman linearization for nonlinear systems
- Koopman operators for physics-informed AI
- Tensor operators for hybrid QPU/HPC solvers
- PDE-to-circuit mapping for quantum simulation
Equations & frameworks:
- ẋ = f(x) → Carleman embedding Ẋ = AẊ
- Spectral decomposition of Koopman operators
- Variational operator learning for physical PDEs
Scientific value: mathematics that enables convergence between domains.
