Opening Ceremony Room: 201

Introduction: Applications of Quantum Computing

• Wojciech Bożejko (Politechnika Wrocławska)

Room: 201 This lecture is conducted as part of the Euro CC project.

History and Technologies Room: 201

Lab: Visiting Odra V (Quantum Computer) Room: 201

What is quantum computing and why should we care about it? Room: 201 We motivate quantum computing, then build a mathematical understanding for qubits, superposition, entanglement, and measurement.

Quantum gates and algorithms Room: 201 We will cover in a theoretical way how we program quantum computers today, and what runs on them.

Hardware overview and real-world applications Room: 201 We will cover the essentials of superconducting quantum hardware, then look at some of the real-world applications that we are piloting.

Lab: Programming on a quantum computer Room: 201 We will learn how to program quantum algorithms in practice, including using QAOA for solving an optimization problem.

Quantum Statistics

• Arleta Szkola (Hochschule Zittau/Görlitz)

Room: 201

Quantum Optimization

• Stefan Hillmich (Software Competence Center Hagenberg (SCCH))

Room: 201

Lab: Basics of Optimization

• Stefan Hillmich (Software Competence Center Hagenberg (SCCH))

Room: 201

Lab: Quantum optimization PART 2 Room: 201

Lab: Modeling and Solving Optimization Problems Room: 201

Introduction to Cuda-Q and Quantum Error Correction

• Esperanza Cuenca-Gómez (NVIDIA)

Room: 201 Session description: GPU-accelerated workloads are increasingly being adopted in hybrid quantum-classical algorithm development to speed up algorithm run time, to test and implement future parallel QPU workflows, to scale up the size of quantum research, and to deploy workflows where QPUs and GPUs are tightly coupled. This session explains NVIDIA’s vision of accelerated quantum supercomputing, introducing CUDA-Q as the platform for high-performance hybrid quantum-classical computing. Relevant works using CUDA-Q are presented, focusing on quantum error correction (QEC). Additionally, practical examples and exercises of QEC using CUDA-Q will be covered.

On transpilation and quantum errors

• Andrzej Gnatowski
• Jarosław Rudy

Room: 201

Lab: Quantum Machine Learning

• Radosław Idzikowski

Room: 201

Hakaton PART 1 Room: 201

Hakaton PART 2 Room: 201

Closing Ceremony Room: 201