HARDWARE, ARCHITECTURES & QUANTUM–AI EXPERIMENTAL SYSTEMS
09:30 – 11:00
Session A3 – Advanced Device Physics: Qubits, Photonics & Neuromorphic Hardware
- Superconducting qubit coherence engineering
- Trapped-ion multi-zone architectures
- Hybrid magnonic–phononic modes
- Photonic integrated circuits for quantum routing
- Memristive neural substrates (oxide-based, phase-change devices)
- Analog compute substrates for differential equations.
Experimental focus:
- T2 optimization
- Cross-talk suppression
- Cryogenic interconnects
- Photonic waveguide dispersion control
Scientific value: deep experimental hardware physics.
14:30 – 16:00
Session A4 – Hybrid Quantum–AI Systems & Coherence-Driven Computation
- Quantum kernels for material discovery
- Hamiltonian learning via neural operators
- Variational circuits for chemical simulation
- Neuromorphic accelerators coupled to QPUs
- Analog–digital co-design paradigms
Mathematical tools:
- VQE / QAOA Hamiltonian minimization
- Koopman / Carleman operator embeddings
- Nonlinear state-space models for physical systems
Scientific value: where quantum devices and AI techniques merge.
