Day 2 - Tuesday, November 4th

Learning Track: Basic/Intermediate - Optimization of logistics and QAOA use cases

Introduction to variational quantum algorithms: QAOA

Speaker: Franz Fuchs (SINTEF, UiO, NO)
Time: 9:00-10:00

Introduction to the Quantum Approximate Optimization Algorithm (QAOA), one of the most promising near-term quantum algorithms. This session covers the theoretical foundations of QAOA, its applications to combinatorial optimization problems, and why it’s particularly suited for NISQ devices.

In-depth description of variational quantum algorithms: QAOA

Speaker: Franz Fuchs (SINTEF, UiO, NO)
Time: 10:00-10:40

A detailed exploration of QAOA implementation and optimization strategies. We’ll dive deep into parameter optimization, circuit design considerations, and practical aspects of running QAOA on real quantum hardware. This session includes discussion of QAOA performance on different problem types and hardware architectures.

Coffee Break

Time: 10:40-11:00

(placeholder)Integrating quantum processing units with supercomputers

Speaker: EuroHPC Speaker
Time: 11:00-12:00

Exploration of how quantum processing units (QPUs) are integrated with classical supercomputing infrastructure. This session covers the technical challenges and solutions for creating hybrid quantum-classical computing systems, including communication protocols, job scheduling, and resource management.

Lunch

Time: 12:00-13:00

Getting started with algorithm development on actual quantum hardware using IQM Resonance

Speaker: Stefan Seegerer (IQM)
Time: 11:00-12:00

In this session you will be learning how to execute quantum circuits on actual hardware with IQM’s cloud-accessible Resonance platform. You will not only run your first experiments but also acquire tips and tricks on how to get the most out of the hardware.

Developing Quantum Algorithms with qrisp—the Next Generation of Quantum Algorithm Development

Speaker: Stefan Seegerer (IQM)
Time: 13:00-14:00

This hands-on session introduces qrisp’s high-level, Pythonic workflow that converts mathematical intent directly into resource-optimized quantum circuits. Participants will prototype variational and fault-tolerant routines, run it on simulators and real hardware and experience first hand how qrisp empowers you to develop novel quantum algorithms.

Coffee Break

Time: 15:00-15:30

tutorial, simulation (Laura)

Speaker: Laura (Tutorial, simulation)
Time: 15:30-16:30

Interactive tutorial on implementing quantum gates, circuits and algorithms using Qiskit simulation. This comprehensive session provides hands-on experience with quantum programming, covering circuit construction, simulation, and algorithm implementation using IBM’s quantum development framework.

interactive tutorial: Execution of simple optimization examples with QAOA (simulation)

Speaker: Franz (Hands-on)
Time: 16:30-17:30

Practical tutorial on executing simple optimization examples using QAOA simulation. This hands-on session provides direct experience with implementing and running QAOA algorithms, focusing on parameter optimization techniques and performance analysis for combinatorial optimization problems.