Stuart Hadfield joined the NASA Quantum Artificial Intelligence Laboratory (QuAIL) in April 2018, after previously spending the summer of 2016 with the group. His research focuses on the power of quantum computers to advance NASA's mission.

Hadfield received his Ph.D. in computer science from Columbia University in February 2018, advised by Al Aho. Previously, he received degrees in theoretical physics from the University of Melbourne and engineering physics from the University of British Columbia. He has also held software and hardware engineering roles in industry.

Hadfield's research focuses on quantum algorithms, information, and complexity, with applications to scientific problems in physics and chemistry, and to hard optimization problems ubiquitous in science and engineering. He seeks to better understand the power of quantum computers, and in particular to elucidate problems and applications where quantum computers have demonstrable advantages over classical algorithms. He is further interested in the mathematical foundations of quantum physics and computation.

- S. Hadfield, Z. Wang, B. O'Gorman, E. G. Rieffel, D. Venturelli, R. Biswas, From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz.
*Algorithms*, 12, 34 (2019) - M. Wilson, S. Stromswold, F. Wudarski, S. Hadfield, N. M. Tubman, E. G. Rieffel, Optimizing Quantum Heuristics with Meta-learning.
*arXiv preprint*(2019) - S. Hadfield, On the Representation of Boolean and Real Functions as Hamiltonians for Quantum Computing.
*arXiv preprint*(2018) - Z. Wang, S. Hadfield, Z. Jiang, E. G. Rieffel, The Quantum Approximate Optimization Algorithm for MaxCut: A Fermionic View.
*Physical Review A*, 97, no. 2 (2018): 022304 - S. Hadfield, A. Papageorgiou,
Divide and Conquer Approach to Quantum Hamiltonian Simulation.
*New Journal of Physics*, 20, no. 4 (2018): 043003 - S. Hadfield, Quantum Algorithms for Scientific Computing and Approximate Optimization.
*PhD Dissertation*, Dept. of Computer Science, Columbia University (2018) - S. Hadfield, Z. Wang, B. O'Gorman, E. G. Rieffel, D. Venturelli, R. Biswas, Quantum Approximate Optimization with Hard and Soft Constraints.
*Proceedings of the 2nd International Workshop on Post Moore's Era Supercomputing*, ACM (2017): 15-21 - M.K. Bhaskar, S. Hadfield, A. Papageorgiou, I. Petras, Quantum Algorithms and Circuits for Scientific Computing.
*Quantum Information & Computation*, 16, no. 3&4 (2016): 197-236. - S. Hadfield, A. Papageorgiou, Approximating Ground and Excited State Energies on a Quantum Computer.
*Quantum Information Processing*, 14, no. 4 (2015): 1151-1178.

Stuart Hadfield

Research Scientist,

NASA Ames Research Center

stuart.hadfield@nasa.gov