Day 4 - Thursday, November 6th
Learning Track: Intermediate/Advanced - Advanced use cases: Physics, Chemistry, Materials, Health, Finance, Logistics
introduction to trapped-ion
Speaker: Panagiotis Barkoutsos (IonQ)
Time: 9:00-10:00
Introduction to trapped-ion quantum computing technology, one of the leading modalities for quantum computation. This session covers the principles of trapped-ion systems, their advantages and challenges, and current applications in quantum computing research and development.
Atomistic simulations on quantum accelerated supercomputing using NVIDIA CUDA-Q
Speaker: Karim Elgammal (ENCCS/RISE, SE)
Time: 10:00-10:40
An overview on Applications of quantum computing to atomistic simulations and materials science. This session explores how quantum algorithms can enhance Density Functional Calculations (DFT) electronic structure calculations, with practical examples from materials research.
Coffee Break
Time: 10:40-11:00
Accelerated Quantum Supercomputing using NVIDIA CUDA-Q
Speaker: Esperanza Cuenca-Gómez (NVIDIA) Time: 11:00-12:00
GPU-accelerated workloads are increasingly being adopted in heterogeneous quantum-classical architectures. These workloads are used 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. The session includes code examples on how to use CUDA-Q, including quantum kernels and hybrid quantum-classical applications. Attendees are encouraged to explore CUDA-Q and the resources provided after the session.
Lunch
Time: 12:00-13:00
Quantum error-correction (QEC)
Speaker: Mats Granath (Göteborg University)
Time: 13:00-14:00
Introduction to quantum error correction, essential for fault-tolerant quantum computing. This session covers the principles of quantum error correction codes, logical qubits, and the requirements for implementing QEC in practical quantum systems.
quantum monte carlo and quantum finance
Speaker: Björn Löfdahl (SEB)
Time: 14:00-15:00
Advanced applications of quantum computing to financial modeling, focusing on quantum Monte Carlo methods and their applications to risk assessment, option pricing, and portfolio optimization in the financial sector.
Coffee Break
Time: 15:00-15:30
Interactive tutorial: Quantum error-correction (QEC) hands-on
Speakers: Mats Granath team (Göteborg University)
Time: 15:30-16:30
Hands-on exploration of quantum computing applications in finance, focusing on Quantum Amplitude Estimation (QAE) and Classical Monte Carlo methods on quantum computers. This tutorial demonstrates practical financial modeling techniques using quantum algorithms.
Interactive tutorial: Quantum finance, Classical Monte Carlo on a QC, Quantum Amplitude Estimation (QAE)
Speakers: Björn Löfdahl & team
Time: 16:30-17:30
Introduction to quantum reservoir computing, a quantum machine learning paradigm that leverages the natural dynamics of quantum systems for computation. This session covers the theoretical foundations, potential advantages over classical reservoir computing, and current research directions in this emerging field.
PechaKucha Presentations
Time: 17:30-18:00
Short, dynamic presentations by participants sharing their research, projects, and fun projects. This interactive session provides a platform for networking and knowledge exchange.