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Lucas Brady earned a B.S. in Physics from Harvey Mudd College in 2013. Under the advising of Prof. Wim van Dam, he received a Ph.D in Physics from the University of California, Santa Barbara in May of 2018. He joined the Applied and Computational Mathematics Division at NIST as an NRC Postdoc in September of 2018 where he worked at the Joint Center for Quantum Information and Computer Science (QuICS) at the University of Maryland. He joined the QuAIL group in March of 2022.

Research Interests:

Lucas is generally interested in quantum algorithms, specifically analog or Hamiltonian algorithms. Much of his older work has focused on quantum adiabatic computing and quantum annealing, but newer work has started to move into more digital settings like the Quantum Alternating Operator Ansatz (QAOA) and other variational quantum algorithms. Among this work are several studies looking at the boundaries and connections between annealing and QAOA, especially from the point of view of optimal control theory and the analysis of the optimal bang-anneal-bang form of an annealing schedule.

His current research interests still focus on Hamiltonian algorithms, with a particular emphasis on control theory, classical simulation, and improvement of these algorithms to make them relevant beyond the Noisy Intermediate Scale Quantum era.


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Lucas Brady
Research Scientist

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