Ramin Ayanzadeh

Alumnus, Ph.D. Alumnus, Visitor

aramin1@umbc.edu

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Graduated in May 2020

I aim to employ quantum computing to address real-world problems that are intractable in the realm of classical computing, and leverage artificial intelligence to advance quantum information processing. As a Google Scholar, I have proposed the first generation of compilers for quantum annealers and awarded the second place in ACM grad SRC competition (sponsored by Microsoft Research). Also, I have proposed a novel post-quantum error correction scheme that can notably improve the quality and reproducibility of results attained by the quantum annealers. Besides, I have introduced two AI hybrid models for quantum annealers, so-called reinforcement quantum annealing (RQA) and greedy quantum annealing (GQA).

From an application viewpoint, I have demonstrated how to address the NP-hard problem of compressive sensing using quantum computers, and I am exploring how to leverage quantum information processing for protein folding applications. In addition to adiabatic quantum computers and quantum annealers, I am interested in gate models; specifically, I am very impressed by cold atoms that can provide a disruptive capability in the post-Moore era. I enjoy listening to audiobooks, and I am a strong advocate of diversity.