Dr. Hakop Pashayan

Hakop Pashayan is a theoretical quantum computing researcher based in Sydney, specializing in quantum algorithms and classical simulation techniques. His expertise encompasses quantum algorithms for state purification, state learning, and noise characterization, as well as classical simulation methods including quasi-probabilistic techniques, stabilizer-based approaches, and tensor network methods. His work focused on developing new algorithms as a tool to analyze the capabilities and limitations of quantum computers.

He is particularly interested in:

– Characterizing the quantum computational resources that enable quantum advantage,

– Investigating the impact of noise on quantum advantage,

– Exploring quantum algorithms and their applications in quantum learning theory.