Publications

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M. Gullans, Tiecke, T., Chang, D. E., Feist, J., Thompson, J. D., Cirac, J. I., Zoller, P., and Lukin, M. D., Nanoplasmonic Lattices for Ultracold atoms, Physical Review Letters, vol. 109, no. 23, 2012.
M. Gullans, Liu, Y. - Y., Stehlik, J., Petta, J. R., and Taylor, J. M., Phonon-Assisted Gain in a Semiconductor Double Quantum Dot Maser, Physical Review Letters, vol. 114, no. 19, p. 196802, 2015.
M. Gullans and Taylor, J. M., A Quantum Network of Silicon Qubits using Mid-Infrared Graphene Plasmons, 2014.
M. Gullans, Caranti, M., Mills, A. R., and Petta, J. R., Compressed gate characterization for quantum devices with time-correlated noise, 2023.
M. Gullans, Krastanov, S., Huse, D. A., Jiang, L., and Flammia, S. T., Quantum coding with low-depth random circuits, 2020.
M. Gullans, Stehlik, J., Liu, Y. - Y., Petta, J. R., and Taylor, J. M., Sisyphus Thermalization of Photons in a Cavity-Coupled Double Quantum Dot, Physical Review Letters, vol. 117, no. 5, p. 056801, 2016.
M. Gullans, Diehl, S., Rittenhouse, S. T., Ruzic, B. P., D'Incao, J. P., Julienne, P., Gorshkov, A. V., and Taylor, J. M., Efimov States of Strongly Interacting Photons, Physical Review Letters, vol. 119, no. 23, p. 233601, 2017.
A. Y. Guo, Deshpande, A., Chu, S. - K., Eldredge, Z., Bienias, P., Devulapalli, D., Su, Y., Childs, A. M., and Gorshkov, A. V., Implementing a Fast Unbounded Quantum Fanout Gate Using Power-Law Interactions, Phys. Rev. Research, vol. 4, no. L042016, 2022.
A. Y. Guo, Young, J. T., Belyansky, R., Bienias, P., and Gorshkov, A. V., Experimental roadmap for optimal state transfer and entanglement generation in power-law systems, 2024.
S. Guo, Fritsch, A. R., Greenberg, C., Spielman, I. B., and Zwolak, J. P., Machine-learning enhanced dark soliton detection in Bose-Einstein condensates, Mach. Learn.: Sci. Technol. , vol. 2, p. 035020, 2021.
S. Guo, Wang, Y., Purdy, T., and Taylor, J. M., Beyond Spontaneous Emission: Giant Atom Bounded in Continuum, 2019.
S. Guo, Koh, S. M., Fritsch, A. R., Spielman, I. B., and Zwolak, J. P., Combining machine learning with physics: A framework for tracking and sorting multiple dark solitons, Phys. Rev. Research, vol. 4, p. 023163 , 2022.
A. Y. Guo, Lieu, S., Tran, M. C., and Gorshkov, A. V., Clustering of steady-state correlations in open systems with long-range interactions, 2021.
A. Y. Guo, Tran, M. C., Childs, A. M., Gorshkov, A. V., and Gong, Z. - X., Signaling and Scrambling with Strongly Long-Range Interactions, Physical Review A, vol. 102, no. 010401(R), 2020.
N. Gupta, Katz, J., and Chopra, N., Information-Theoretic Privacy in Distributed Average Consensus, 2018.
N. Gupta, Katz, J., and Chopra, N., Information-Theoretic Privacy For Distributed Average Consensus: Bounded Integral Inputs, 2018.
N. Gupta, Katz, J., and Chopra, N., Statistical Privacy in Distributed Average Consensus on Bounded Real Inputs, 2019.
J. Antonio Ma Guzmán, Erker, P., Gasparinetti, S., Huber, M., and Halpern, N. Yunger, DiVincenzo-like criteria for autonomous quantum machines, 2023.