Quantum Autumn School 2023

Recent developments in quantum technology are bringing the world closer to a new technological revolution – the advent of usable quantum computers able to provide enormous acceleration to important computational tasks. In coming years, quantum computing is expected to have a significant impact on many areas of research that can utilise computational modelling. Indeed, significant efforts and investments are currently underway in Europe to bolster skills and capacity within quantum computing.

ENCCS is again joining forces with the Wallenberg Centre of Quantum Technologies (WACQT) and the Nordic/Baltic NordIQuEst project to deliver a three-day autumn school covering the fundamentals of quantum computing. The school will also be visited by and contributed to by Algorithmiq, a Finnish startup which aims to revolutionise life sciences by exploiting the potential of quantum computing to solve currently inaccessible problems.

WACQT is a national research programme, coordinated from Chalmers, that aims to take Swedish research and industry to the forefront of quantum technology. The main project of WACQT is to develop a high-end quantum computer that can solve problems far beyond the reach of the best conventional supercomputers.

NordΙQuEst brings together a consortium of seven partners from five Nordic and Baltic countries to connect world leading traditional HPC resources and quantum computers across national borders with the aim to establish a quantum computing platform customised to the needs of the region.

Prerequisites

For the hands-on tutorials, basic familiarity with Python and some experience working in a Unix environment are desirable. No previous experience with quantum computers expected.

Setup

• Setup

Day 1

• Physical Approaches to Quantum Computing
• Introduction to Digital Quantum Computing
• Tutorial - Quantum programming I
• Tutorial - Quantum programming II
• Tutorial - Quantum programming III

Day 2

• HPC-QC integration
• QC software stack
• Hybrid Classical/Quantum Algorithms
• Tutorial - Introduction to Helmi with qiskit
• Tutorial - Qubit Spectroscopy Analysis
• Tutorial - Quantum Alternating Operator Ansatz

Day 3

• Hybrid Algorithms - Use Cases for Quantum Chemistry
• Hybrid Algorithms - Use Cases for Quantum Finance
• Hybrid Algorithms - Use Cases for Quantum Life Science
• Tutorial - Quantum chemistry
• Tutorial - Adaptive State Preparation Techniques
• Tutorial - Quantum support vector regression for disability insurance
• Tutorial: Protein Folding with Quantum Approximate Optimization Algorithm (QAOA)

About

• All ENCCS lessons
• About ENCCS

Who is the course for?

About the course

See also

Credits

The lesson file structure and browsing layout is inspired by and derived from work by CodeRefinery licensed under the MIT license. We have copied and adapted most of their license text.

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