Quantum Autumn School 2024

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 joins forces again this year with NordIQuEst, to deliver a three-day quantum autumn school in early December 2024! The school will also be visited by and contributed to by several companies who are developing in-house expertise in various application domains of quantum computing.

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.

The quantum autumn school will be held in Stockholm in hybrid form, in-person and online.

Prerequisites

For the hands-on tutorials, basic familiarity with Python and some experience working in a Unix environment are desirable. Some previous experience with quantum computing is expected.

Setup

• Setup

Day 1

• Welcome and introduction
• Introduction to variational quantum algorithms: VQE and QAOA
• Tutorial - Variational Quantum Algorithms

Day 2

• Tutorial - MAP Decoding Exercise
• Quantum Monte Carlo and quantum finance
• Tutorial - Pricing a European call option on a quantum computer

Day 3

• Tergite overview
• Quantum extreme learning machine
• Quantum Computing for Materials Science

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.

Instructional Material

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Software

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