PhD Physics, Caltech (Physics), 2003
Research Lead, Information Sciences Institute
Research Assistant Professor, Ming Hsieh Department of Electrical and Computer Engineering
My main research interests currently revolve around the theory and practice of quantum annealers. I have always been interested in entanglement characterization and I have worked on entanglement detection for the D-Wave quantum annealing processor. I am also working on mapping specific applications to quantum annealers: using the D-Wave to train different types of Boltzmann machines, and considering more general quantum annealing approaches to address circuit fault diagnosis. I am also starting to work (in collaboration with Jon Habif) on some aspects of quantum parameter estimation.
Recent Publications
- Hannes Leipold and Federico M. Spedalieri, “Constructing Driver Hamiltonians for Several Linear Constraints,” arXiv:2006.12028 (2020).
- T. E. Potok and F. Spedalieri et al., “A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers,” 2016 2nd Workshop on Machine Learning in HPC Environments (MLHPC), Salt Lake City, UT, 2016, pp. 47-55, doi: 10.1109/MLHPC.2016.009.