Who am I?
Before that, I’ve received a Bachelors degree in Applied Mathematics and Physics from Moscow Institute of Physics and Technology, with a minor in Computer Science and Data Analysis.
What do I do?
My research focusses around the intersection between (hyper)graph problems, optimization, machine learning, quantum and high-performance computing. I have spent the first two years of my PhD developing scalable multilevel algorithms for hypergraph partitioning. After spending a summer at Argonne National Laboratory, I became fascinated with the potential of quantum computing. I have been working on developing near-term quantum algorithms for optimization and machine learning problems since then.
I am particularly interested in variational and decomposition based hybrid quantum-classical algorithms. Over the years, I have had the pleasure of collaborating with some amazing people from IBM, Fujitsu and Argonne and Los Alamos National Laboratories.
What am I excited about?
The potential of quantum computing to provide performance improvements in the post-Moore’s law era (oof, a mouthful!). I am passionate about quantum computing and have led multiple tutorials and training sessions.
There is still a long way from where we are today to useful quantum computing applications. I am excited to be a part of this journey.
How can I be reached?
Through any of the following links:orcid.org/0000-0002-8657-2848