Courses

QTIndu project is developing courses directly linked to the industry needs and will be tailored to different business sectors, such as telecommunication, software, logistics, pharmaceuticals, healthcare, finance, and consulting, where QT is relevant. Each of these business sectors has its specific QT applications and specific needs for the qualificaion of their workforce.

Modules and courses of various competency levels, industries, target audiences and durations will be stored on a novel block-chain powered ecosystem.

Modules


Fully documented 1-5 hour interactions:

- short soft skills symposia,
- digital educational modules (composers, quiskit…),
- remote access experiments,
- virtual training activities (games, VR…).

Module material will be made publicly available on relevant EU-platforms.

Courses


Courses at different levels are under development:

- Introductory courses for business leaders and managers.
- Introductory courses for job seekers, including career and resourcing advice.
- Introductory courses for a technical skilled workforce, such as engineers.
- Intermediate courses (including hands-on workshops, in-person training in labs, and technical seminars).

Infrastructures


Courses will be hosted on an online commercial e-learning platform, linked to a diversity of academic platforms.

Blockchain-powered learner data ecosystem including Earn-to-Learn pilot.

QTIndu website.



 

General Introduction and Transversal

MODULE

Introduction to the Quantum Ecosystem

Audience
About

This module will present an overview of the ecosystem being built around quantum computing, providing a solid foundation to understand the potential, opportunities, and strategies surrounding quantum technologies.      

Audience
  • Executives & Strategists

  • Non-Technical Managers

  • Engineers & Technicians

  • Software Developers and Data Scientists

  • Researchers 

  • Marketing 

  • HR 

  • Students 

  • Quantum Enthusiasts

What you will learn:
  • Assess the investment landscape of the quantum industry, including startups, venture capital, and key players.
  • Understand the differences between classical and quantum computers abilities.
  • Identify and articulate the potential applications and opportunities for quantum computing.

This Module is developed by

MODULE

Why is Quantum so special? Basic rules of quantum physics

About

This module is a qualitative journey through the basic rules of quantum physics, an introduction to the special and counterintuitive world of quantum. The learner will be guided through interesting phenomena, experimental setups and their (planned) application in the real world. The module targets Quantum Novices from all sectors and stakeholders!

Audience
  • Executives & Strategists
  • Non-Technical Managers
  • Engineers & Technicians
  • Software Developers and
  • Data Scientists
  • Researchers
  • Marketing
  • HR
  • Students
  • Quantum Enthusiasts
What you will learn:

If you successfully complete the module, you will:

  • Understand the difference between classical and quantum technologies!
  • Learn basic terms and principles!
  • Create, elaborate and reflect simple setups for further application!
  • Explain basic terms, technological applications and principles!

This Module is developed by

technische-universitaet-braunschweig-logo-vector

COURSE

Quantum Technology Skills and Competences / Hiring and Training

What you will learn:

This module aims to utilize the Flagship European standardization tool, the Competence Framework for Quantum Technologies, to help companies match their needs to the skills of the personnel they are hiring or training. The CF can inform recruitment, education, and training programs and is an invaluable instrument for European companies working in QT.

This Course is developed by

COURSE

Inspiration Quantum

About:

This online course introduces basic concepts of quantum science and technologies to prepare you for your quantum computing journey. You will build intuition, familiarity, and competence about the topic without having to dig into its mathematical technicalities, while resting assured about the scientific rigour. At the end of course, you will be able to read news critically and to distinguish, when it comes to the possibilities of quantum computers, truthful and accurate sources from misleading or hyped media sources.

Audience
  • Executives & Strategists
  • Non-Technical Managers
  • Marketing
  • HR
  • Students
  • Quantum Enthusiasts
What you will learn:
  • Understand the fundamental difference between classical and quantum computers
  • Be aware of the distinction between fault-tolerant and near term quantum devices
  • Identify possible fields of application of near term devices in the upcoming years

This Course is developed by

UNIVERSITY OF HELSINKI

Quantum Computing and Simulation

COURSE

Quantum Machine Learning (QML)

About:

This online course on Quantum Machine Learning (QML) is designed to explore the intersection of quantum computing and machine learning, highlighting the unique advantages and potential applications of merging these two cutting-edge fields. Starting with the context and motivation behind Quantum Machine Learning, the course outlines its potential advantages and applications, aiming to mold learners into skilled Quantum Engineers. Through a structured curriculum, students will dwelve into:

  • Optimization problems using Quantum Annealing,
  • Parameterised Quantum Circuits (PQC), and Quantum Approximate Optimization Algorithm (QAOA), along with
  • Advanced modeling and applications in quantum classifiers, regression, and unsupervised learning methods like clustering.

Each module includes hands-on exercises to reinforce learning, progressing towards understanding advanced algorithms, the current quantum computing landscape, and ongoing challenges in the field. This course is designed to equip learners with the knowledge and skills to apply quantum computing concepts in machine learning to solve real-world problems.

Audience
  • Software Developers and Data Scientists
  • Researchers
  • Students
What you will learn:
  • Technical Skills: Participants will gain hands-on experience with formulating Quantum Unconstrained Binary Optimization (QUBO) and the Quantum Approximate Optimization Algorithm (QAOA), including the use of D-Wave systems for solving optimization problems. They will also learn to implement quantum machine learning models such as Parameterized Quantum Circuits (PQC) and Quantum Support Vector Machines, understanding the nuances of quantum algorithms and their industrial applications in machine learning tasks like classification, regression, and clustering.
  • Business Skills: The course will elucidate the potential advantages and real-world applications of quantum machine learning, preparing learners to identify and leverage quantum computing solutions for complex business challenges. Additionally, through understanding the strategic importance of quantum-enhanced algorithms and their ability to outperform classical counterparts in specific tasks, students will be equipped to make informed decisions regarding investment in quantum technologies and innovation in their respective fields.

This Course is developed by

Quantum Communication

COURSE

Quantum Communication and Quantum Networks

About:

This course is designed to equip non-technical decision-makers across various sectors with a strategic understanding of quantum communication and its implications. It aims to provide a general understanding of the fundamental principles of quantum mechanics and their application in quantum communication and quantum networks, focusing on enhancing security, computational capabilities, and infrastructure readiness for a quantum future.

Targeted at executives, managers, policymakers, and strategic planners in industries such as telecommunications, IT, cybersecurity, defense, finance, and healthcare, this course outlines the transformational impact of quantum communication-related technologies on these sectors. Through modules that cover everything from the basics of quantum mechanics to the strategic implementation of quantum communication solutions, the course prepares participants to make informed decisions about adopting and integrating quantum technologies into their operations.

Interactive learning activities are included to engage learners and reinforce their understanding. Sector-specific applications are explored in depth, illustrating how quantum communication could revolutionize different fields ranging from finance to national security. This educational offering is essential to secure a competitive edge in the rapidly evolving technological landscape shaped by quantum advancements.

Audience
  • Executives & Strategists
  • Non-Technical Managers
What you will learn:
  • Learn about the structure and components of quantum networks, including quantum repeaters and quantum memories.
  • Explore how quantum communication technologies are applied in various industries including telecommunications, IT, cybersecurity, finance, healthcare, and defense.
  • Analyze real-world case studies and pilot projects involving quantum networks to understand their outcomes and challenges.
  • Keep abreast of emerging trends and future developments in quantum communication technologies.
  • Learn how to approach the integration and adoption of quantum communication technologies, focusing on practical and sector-specific applications

This Course is developed by

technische-universitaet-braunschweig-logo-vector

COURSE

Introduction to Quantum Communication and Quantum Network Explorer (QNE)

About:
Quantum Network Explorer (QNE) is currently the only educational platform wholly committed to the advancement of quantum networking. In this course, you will gain proficiency in QNE ADK for quantum network application development and learn to share your creations on QNE’s Community Application Library.
Audience
  • Engineers & Technicians
  • Software Developers and Data Scientists
  • Students 
  • Quantum Enthusiasts
What you will learn:
  • Understand the fundamentals of quantum networks and their future applications.
  • Utilize the diverse resources provided by the Quantum Network Explorer to gain practical insight into quantum networks through hands-on experience
  • Run your own quantum network simulations by leveraging the pre-built applications available in QNE’s Community Application Library.
  • Develop customized quantum network applications using QNE’s Application Development Kit (QNE-ADK) and contribute to the global QNE community by sharing your work
  • Use SquidASM as an advanced simulator for quantum network applications, elevating your research capabilities to the next level.

This Course is developed by

DELFT UNIVERSITY OF TECHNOLOGY

Quantum Sensing

COURSE

Quantum Sensor Engineering

About:

This is an introductory course to quantum sensing presented through the lens of quantum magnetometry. Three different technologies are discussed (diamond color centers, optical magnetometers, and superconducting devices). The course consists of theory, applications, and hands-on training.

Audience
  • Non-Technical Managers
  • Engineers & Technicians
  • Researchers
  • Students
  • Quantum Enthusiasts
What you will learn:
  • Understand the principles of quantum sensing.
  • Acquire an overview of different technologies.
  • Elucidate advantages and limitations.
  • Qualitatively explain the physical phenomena involved.
  • Become aware of use-cases and assess potential new applications.
  • Perform measurements using our user-friendly quantum education kits.

This Course is developed by

logo_ptb-en

MODULE

Hands-on lab on Magnetic Field Quantum Sensors based on superconductivity

What you will learn:

In this module you will learn about quantum sensors based on superconductivity. The underlying physical principles are presented on a phenomenological level while special attention is given on use cases. Lastly, a hands-on training, with the necessary safety instructions, tops the module off.

This Module is developed by

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