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Introducing ADEQUATE: A Cutting-Edge Quantum Computing Course

We are thrilled to present you an exciting opportunity to explore the world of quantum computing! QURECA and QWorld, in collaboration with the University of Latvia has developed an ADvanced End-to-end QUAntum computing TEchnical course (ADEQUATE), funded by the EIT Deep Tech Talent Initiative which offers a comprehensive introduction to quantum computing, covering established quantum algorithms and computational techniques. Designed for a broad audience, this course requires no prior knowledge of quantum physics, making it accessible to beginners and professionals alike.

Why Join ADEQUATE?

  • Elite Recognition: Backed by the EIT and funded by the European Commission.
  • Hands-On Training: Learn through practical applications using Qiskit and PennyLane.
  • Shape the Future: Become part of an exclusive community driving the next generation of deep-tech leaders.

Learning Outcomes

By the end of the course, participants will:

  • Understand the fundamental principles and mathematical foundations of quantum computing.
  • Gain hands-on experience with quantum programming using Qiskit and PennyLane.
  • Develop problem-solving skills applicable to real-world quantum computing challenges.
  • Learn to implement key quantum algorithms and mitigate computational errors.
  • Explore the potential applications of quantum computing in various industries.

Course Format & Learning Approach

ADEQUATE follows a learning-by-doing methodology, integrating real-world problem-solving with practical applications on quantum computing frameworks. The training covers historical, current, and future perspectives on quantum computing’s role in scientific and industrial advancements.

Key Course Features

  • Free & Fully Online
  • Structure: Nine MOOC-style modules
  • Support: Weekly online Q&A sessions and mentor guidance via Discord
  • Assessment: Online quizzes with multiple attempts

Course Modules

  1. Historical Context and Future Outlook
  2. Mathematical Formalism and Fundamental Concepts
  3. Fundamental Quantum Algorithms
  4. Quantum Computing Platforms
  5. Subroutines (Quantum Fourier Transform and Quantum Phase Estimation)
  6. Advanced Quantum Algorithms
  7. Understanding and Mitigating Errors
  8. Quantum Machine Learning (QML)
  9. Quantum Neural Networks (QNNs)

Project Phase

Participants will engage in hands-on projects, applying their knowledge to real-world quantum computing challenges. Further details will be provided during the course.

Certification & ECTS Credits

All participants will receive a certificate of completion. Additionally, students can earn 3 ECTS credits (optional) by enrolling in courses offered by the Department of Computer Science.

Credit Options:

  • Spec-Seminar for Undergraduate Students
    Registration: Email Assoc. Prof. Abuzer Yakaryilmaz (abuzer@lu.lv) with your name, student number, and study year.
  • DatZD015: Elementary Quantum Algorithms (Graduate Level)
    Registration: Direct enrollment in the course.

Note: Non-Computer Science students should consult their department for enrollment eligibility.

Grading Criteria

  • Spec-Seminar: Earn up to 9 points for module completion and 2 additional points for the project phase.
  • DatZD015: 70% of the grade is based on module completion, and 30% on the project phase.

How to Register

Secure your spot by filling out the registration form at: Register Here

Start Date

February 2025. Instructions will be sent via email.

Contact

For inquiries, reach out to Assoc. Prof. Abuzer Yakaryilmaz at abuzer@lu.lv.

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