The ADvanced End-to-end QUAntum computing TEchnical course (ADEQUATE), funded by the EIT Deep Tech Talent Initiative, provides a complete overview of the established quantum algorithms and computational techniques, accessible to a broad audience, with no requirement of prior familiarity with quantum physics. The course takes place from 1 March 2025 to 31 August 2025.
Instructor
QWorld is a global network of individuals, groups, and communities collaborating on education and implementation of quantum technologies and research activities. It is a non-profit organisation that brings quantum computing researchers & enthusiasts together. In collaboration with QURECA through education and skill development opportunities, QWorld is training the next generation of quantum scientists.
Learning objectives
Following a hands-on, interactive learning approach using quantum programming languages such as Qiskit and PennyLane, it provides a solid understanding of the fundamental principles of quantum computing, building the necessary skills to independently apply it to solving specific problems.
The course takes the approach of learning by application and problem solving, consisting of content and projects which are suitable for testing on actual quantum computing hardware. The training contextualises the historical development of quantum computing as well as its current and future applicability to scientific and industrial challenges.
What skills you will learn
- Gain a solid understanding of the fundamental principles and concepts of quantum computing.
- Learn to program and run quantum algorithms using leading quantum programming languages and real quantum hardware.
- Explore key quantum algorithms and their practical applications in science and industry.
- Understand quantum hardware and software platforms, as well as basic error correction and mitigation techniques.
- Discover the basics of quantum machine learning and quantum neural networks, and how they can be applied to solve real-world problems.
Programme Structure
Module 1: Historical Context and Future Outlook
Module 2: Mathematical Formalism and Fundamental Concepts
Module 3: Fundamental Quantum Algorithms
Module 4: Quantum Computing Platforms
Module 5: Subroutines (Quantum Fourier Transform and Quantum Phase Estimation)
Module 6: Advanced Quantum Algorithms
Module 7: Understanding and dealing with errors
Module 8: Quantum Machine Learning (QML)
Module 9: Quantum Neural Networks (QNNs)
Course Prerequisites
All potential learners must have expertise in python.
Duration
The estimated duration to complete this course is approximately 50 hours.
Assessment
Pass all the quizzes at the end of each lesson by scoring 80% or more to complete the course and earn the certificate upon completion.
Who Should Enrol
This course is ideal for anyone interested in learning about quantum computing.
Why Enrol
Enrol in the programme backed by the EIT and funded by the European Commission that provides hands-on training into practical Quantum Computing applications and shape the future of the next generation of deep tech leaders.
Quantum up!
Don’t miss your chance to advance your career in one of the most exciting and innovative fields today!
Reach out to us today to secure your spot!
This course is funded by the EIT Deep Tech Talent Initiative of the European Institute of Innovation and Technology (EIT)
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