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ADEQUATE (Advanced End-to-end QUAntum computing TEchnical) Course

ADEQUATE is jointly curated by QURECA, QWorld, Czech Technical University in Prague, and the University of Latvia, in alignment with the European Qualifications Framework. Funded by the EIT Deep Tech Talent Initiative, this course provides the fundamentals of quantum computing, overview of established quantum algorithms and computational techniques with a hands-on, interactive learning approach using quantum programming languages building the necessary skills among users to independently apply it to solving specific problems.

Starts:

Continuously open

Ends:

Application deadline:

Continuously open

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Course Description

Purpose and aim of the course

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. 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.

ADEQUATE course outline:
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)

 

This course is ideal for anyone interested in learning about quantum computing.

Total duration : 50 hours or more

Course is available free of cost. Users can register and start learning!

Course details

Deep tech fields

Advanced Computing / Quantum Computing

Course language

English

Fee

Free course

Duration (hours)

55

Certificate provided

Yes

Skills addressed

Programming, Design and optimise code, quantum computing

Course format

Online

Target group

Undergraduate-level learners, Postgraduate-level learners, Professional development learners, Life-long learners

Quality check

Approved

Dates

Starts:

Continuously open

Ends:

Application deadline:

Continuously open

Course provider

QURECA and QURECA SPAIN

QURECA provides a range of educational products and services in quantum technologies, and the solution to the quantum workforce skills bottleneck: the first online platform for quantum training and r..

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Ready to take the next step in your journey? Apply now and embark on a transformative learning experience. Whether you’re pursuing a passion or advancing your career, we’re here to help you succeed. Don’t wait any longer – seize the opportunity and apply today!

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