Exploring Near-Term Quantum Algorithms for Chemical Reaction Studies and AI-driven Algorithm Advancements
- Ieva Liepuoniute
- Mario Motta
- et al.
- 2024
- ACS Fall 2024
Dr. Meltem Tolunay is a Research Staff Member in the Quantum Algorithm Engineering group at IBM Quantum. Her work focuses on enabling hardware experiments for a range of quantum computing applications, including quantum machine learning and quantum optimization. She is also interested in developing classical machine learning methods to support and enhance quantum computing.
Dr. Tolunay received a B.S. in Electrical and Electronics Engineering from Koc University, Istanbul, in 2017. She obtained her Ph.D. in 2022 in Electrical Engineering from Stanford University, in collaboration with IBM Research. Dr. Tolunay's graduate research includes the design of near-term quantum algorithms for spin chemistry systems and for combinatorial optimization.