Dr. rer. nat. habil.

Dirk Oliver Theis

Associate Professor

`dotheis at ut dot ee`

- Diplom in mathematics Heidelberg (8/2002)
- Dr. rer.nat. Heidelberg (12/2005,
*summa cum laude*) - Habilitation to Priv.-Doz. (math) Magdeburg (5/2012)
- Assoc. Prof. in Theoretical Computer Science at Uni Tartu (3/2013)

## Research

My interests are in the intersection of applied mathematics and computation, particularly mathematical optimization. I never saw the point in spending my time thinking about computations on non-existing computers, hence my interest in quantum computing is more recent. Current focus: Quantum algorithms, mathematics of quantum computation.

My papers on arXiv:## Research Group

**Current PhD students**

- Rafieh Mosaheb (BSc Sharif): Quantum algorithms for reinforcement learning
- Anti Ingel (MSc Uni Tartu)
- Bahman Ghandchi (BSc Uni Tehran)

**Current MSc students**

__Second Year__

- Evgenii Dolzhkov
*Parameterized quantum circuits via Lie groups* - Michael Nitsenko (Ketita Labs student)
*Effect of quantum noise on parameterized quantum circuits* - Anderew Lei
*Input encoding in quantum classifiers*

__First Year__

- Galina Pass

Area: Quantum algorithms

##### Some former students

- Abdullah Makkeh, PhD 2018 ðŸ ² postdoc in GÃ¶ttingen
- Mozhgan Pourmoradnasseri, PhD 2017 (BSc Sharif)
- Mirjam Friesen, BSc ðŸ ² PhD Uni Magdeburg, Germany
- Michael Bode, Diploma ðŸ ² PhD Birmingham
- Thorsten Bonato, Diploma ðŸ ² PhD Heidelberg

## Teaching

- MTAT.05.008
**Math Foundations**- Fall, 1st graduate semester
- 6 ECTS
- âž¢ Graduate Linear Algebra mostly

- MTAT.05.118 Quantum Computing I “
**Introduction to Quantum Algorithms**”- Spring, 2nd graduate semester
- 6 ECTS
- âž¢ Basic quantum algorithms

- MTAT.05.124
**Quantum Seminar**- Every semester.
- 3 ECTS (4x)

**Advanced Quantum Algorithms (“AQuA”)**

QC1 “Introduction to Quantum Algorithms” covers only the basics quantum algorithms (QFT, phase estimation, amplitude amplification, …). Moreover, there are no textbooks covering the advanced techniques. Hence, advanced quantum algorithms are taught through small-group instruction and problem solving. Topics include: Quantum walks, Hamiltonian simulation, numerical linear algebra, etc; along with the underlying quantum algorithm techniques. Research in quantum algorithm makes no sense without understanding these techniques.
**New:** ECTS credit points for participation in AQuA will be given. Stay tuned.

## Contact

Make an appointment by email.