Courses on quantum computing at the University of Tartu

Introduction to Quantum Computing: Theory and Practice

  • Institute of Physics: LTFY.04.012
  • 6 ECTS
  • Fall semester
  • Physics & math students: 1st or 2nd year of bachelor’s studies; CS/Engineering: take it whenever you want.
  • Content:
    • Superposition, qubits, gates, measurement
    • The math that’s needed
    • Lab sessions with cloud quantum computer devices (via Qiskit)

Introduction to Quantum Algorithms

  • Institute of Computer Science: LTAT.04.008
  • 6 ECTS
  • Spring of 1st year master’s studies
  • Content: Basic quantum algorithms
    • Basics of quantum mechanics of closed systems
    • Quantum Fourier transform, Fourier sampling and applications (Shor’s algorithm)
    • Quantum Phase Estimation
    • Quantum Amplitude Amplification (Grover’s algorithm) and Quantum Amplitude Estimation
  • Details: Introduction to Quantum Algorithms

Quantum Error Correction & Fault-Tolerant Quantum Computing

Quantum Seminar

  • Institute of Computer Science: LTAT.04.004
  • 3 ECTS (4×)
  • Every semester
  • Content: Students read and present research papers on quantum computing and quantum cryptography
  • Companies with research in quantum computing are welcome to propose topics
  • Details: Quantum Seminar

Practical Training

In the following courses, students realize practical projects.
  • For Physics-Chemistry-Materials BSc students:
    – TFY.00.001 Practical Speciality Training (6 ECTS)
    – LOKT.00.024 Professional Practice (3 ECTS)
  • For Physics-Chemistry-Materials MSc students:
    – LOFY.00.007 Practical Experiences in Physics (12 ECTS)
  • For CS MSc students:
    – LTAT.00.008 3+3 ECTS
    – LTAT.04.005 12 ETCS

Companies with activities in quantum computing are welcome to propose topics.

Quantum Computer Software specialization

Master’s students in computer science can specialize in Quantum Computer Software as part of the specialization module “Theoretical Informatics”. Here’s an example study plan:

The 3+3 ECTS project courses have the role of teaching mastery of software tools (e.g., Qiskit beyond the basic use). Students learn independently by implementing something from the papers they read in the quantum seminar.

Fou-Math is strongly recommended for those who don’t have an undergraduate degree in mathematics. It covers Hilbert spaces (finite dimensional mostly), operators, spectral theory, tensor products, and Dirac notation — spiced up with applications to quantum physics. Those who have solid math background can do without Fou-Math, e.g., like this:

For informal inquiries about the studying quantum computing within computer science, contact Dirk Oliver Theis.

To apply go here:
U-Tartu 🡆 CS Insitute 🡆 Admission 🡆 Master’s 🡆 Computer Science.