Introduction to Quantum Computing and hybrid HPC-QC systems
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 huge impact on practically all areas of research that can utilise computational modelling.
Starting operations in April this year, the NordΙQuEst project 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.
ENCCS is now joining forces with NordIQuEst to deliver two-day training workshops covering the fundamentals of quantum computing (QC), including:
Introduction to key concepts: quantum states, qubits, quantum algorithms
QC programming in high-level languages for use cases in optimisation, finance and quantum chemistry followed by testing quantum programs to esure their correctness
Overview of the main QC hardware approaches
Integration of QC with classical computing: hybrid classical/quantum algorithms and HPC-QC systems.
Introduction to quantum software testing with Quito tool
Prerequisites
For the hands-on training sessions, basic familiarity with Python and some experience working in a Unix environment are desirable. No previous experience with quantum computers expected.
Run on Binder
All notebooks contained in this material can be launched on mybinder.org for interactive exploration and exercise work. Click the badge below to spin up an instance in the cloud.
In the JupyterLab file browser navigate to content/notebooks to find
the hands-on exercise material.
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Preparation
Day 1 lectures
Day 1 hands-on
Day 2 lectures
Day 2 hands-on
Reference
Who is the course for?
This training material is for anyone interested in learning the basics of Quantum Computing.
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
Except where otherwise noted, the example programs and other software provided with this repository are made available under the OSI-approved MIT license.