Eleanor G. Rieffel joined the NASA Advanced Supercomputing (NAS) Division at NASA Ames Research Center in September 2012 to contribute to NASA's expanding quantum computing effort.

Eleanor Rieffel received her Ph.D. in mathematics from the University of California, Los Angeles. After a mathematics post-doc at the University of Southern California, she joined FX Palo Alto Laboratory (FXPAL) where she performed research in diverse fields including quantum computation, applied cryptography, image-based geometric reconstruction of 3D scenes, bioinformatics, video surveillance, and automated control code generation for modular robotics. Her book, Quantum Computing: A Gentle Introduction with coauthor Wolfgang Polak was published by MIT press in spring 2011.

Eleanor Rieffel's interest in quantum computing dates back to 1997, when she read early papers and saw the mix of the practical and fundamental, of physics, mathematics, and computer science. Through her research she hopes to catch glimmers as to the elusive source of the power of quantum computation. Her current research interests include adiabatic and measurement-based approaches to quantum computing, and the insights these different approaches give to into both fundamental questions in quantum computation and into algorithmic design. She has long been interested in heuristic quantum algorithms such as quantum annealing, and looks forward to experimenting with them on emerging quantum computing hardware. She is working with various teams at NASA to explore quantum approaches to attacking the many hard computational problems required for NASA's ambitious missions.

Book

- Eleanor G. Rieffel and Wolfgang Polak, Quantum Computing: A Gentle Introduction, MIT Press, 2011.

Perspective articles and Tutorials

- R Biswas, Z Jiang, K Kechezhi, S Knysh, S Mandrà, B O’Gorman, A Perdomo-Ortiz, A Petukhov, J Realpe-Gómez, E Rieffel, D Venturelli, F Vasko, Z Wang, A NASA perspective on quantum computing: Opportunities and challenges, Parallel Computing 64, 81-98, 2017.
- Joseph F. Fitzsimons, Eleanor G. Rieffel, Valerio Scarani, The Quantum Frontier, In Computation for Humanity: Information Technology to Advance Society, CRC Press, 2013 (book chapter).
- Eleanor G. Rieffel and Wolfgang Polak, An Introduction to Quantum Computing for Non-Physicists, ACM Computing Surveys, Vol. 32(3), pp. 300 - 335, Sept 2000. [Russian Translation]

Selected Quantum Computing Research Papers

- Stuart Hadfield, Zhihui Wang, Bryan O'Gorman, Eleanor G. Rieffel, Davide Venturelli, Rupak Biswas, From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz, arXiv:1709.03489, 2017.
- Zhihui Wang, Stuart Hadfield, Zhang Jiang, Eleanor G. Rieffel, The Quantum Approximation Optimization Algorithm for MaxCut: A Fermionic View, arXiv:1706.02998, 2017.
- Davide Venturelli, Minh Do, Eleanor G. Rieffel, Jeremy Frank, Compiling Quantum Circuits to Realistic Hardware Architectures using Temporal Planners, arXiv:1705.08927, 2017
- Jeffrey Marshall, Eleanor G. Rieffel, Itay Hen, Thermalization, freeze-out and noise: deciphering experimental quantum annealers, arXiv:1703.03902, 2017.
- Zhang Jiang, Eleanor G. Rieffel, Zhihui Wang, Near-optimal quantum circuit for Grover's unstructured search using a transverse field, Physical Review A 95 (6), 062317, 2017.
- Zhang Jiang, Eleanor G. Rieffel, Non-commuting two-local Hamiltonians for quantum error suppression, Quantum Information Processing 16 (4), 89, 2017.
- Tony T. Tran, Minh Do, Eleanor G. Rieffel, Jeremy Frank, Zhihui Wang, Bryan O'Gorman, Davide Venturelli, J Christopher Beck, A hybrid quantum-classical approach to solving scheduling problems, Ninth Annual Symposium on Combinatorial Search, 2016.
- Eleanor G. Rieffel, Davide Venturelli, Bryan O'Gorman, Minh B. Do, Elicia Prystay, Vadim N. Smelyanskiy, A case study in programming a quantum annealer for hard operational planning problems, Quantum Information Processing, 14 (1) pp. 1-36, 2015.
- Eleanor G. Rieffel, Howard M. Wiseman, Discord in relation to resource states for measurement-based quantum computation, Physical Rev. A 89, 032323 (2014).
- Christof Zalka, Eleanor G. Rieffel, Quantum operations that cannot be implemented using a small mixed environment, Journal of Mathematical Physics, Vol 43(9), September 2002, pp. 4376 - 4381.

Selected Non-Quantum Research Papers

- Zhihui Wang, Bryan O'Gorman, Tony T. Tran, Eleanor G. Rieffel, Jeremy Frank, Minh Do, An Investigation of Phase Transitions in Single-Machine Scheduling Problems, ICAPS17.
- Eleanor G. Rieffel, Davide Venturelli, Minh Do, Itay Hen, Jeremy Frank, Parametrized Families of Hard Planning Problems from Phase Transitions, In Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, pp. 2337-2343, 2014.
- Elaine Shi, T-H Hubert Chan, Eleanor G. Rieffel, Richard Chow, Dawn Song, Privacy-Preserving Aggregation of Time-Series Data, NDSS 2011.
- Eleanor G. Rieffel, Don Kimber, and Jim Vaughan, Geometric reconstruction from point-normal data, Proceedings of the Fourth SIAM Conference on Mathematics for Industry (MI09), pp. 49-60, 2009.

Eleanor G. Rieffel

Senior Research Scientist

Lead, Quantum Artificial Intelligence Laboratory (QuAIL)

NASA Ames Research Center

eleanor.rieffel@nasa.gov