Publications

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M. Gullans, Chang, D. E., Koppens, F. H. L., de Abajo, F. J. García, and Lukin, M. D., Single-photon nonlinear optics with graphene plasmons, Physical Review Letters, vol. 111, no. 24, 2013.
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, Krich, J. J., Taylor, J. M., Halperin, B. I., and Lukin, M. D., Preparation of Non-equilibrium Nuclear Spin States in Double Quantum Dots , Physical Review B, vol. 88, no. 3, 2013.
M. Gullans and Petta, J. R., Coherent transport of spin by adiabatic passage in quantum dot arrays, Phys. Rev. B, vol. 102, no. 155404, 2020.
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 and Petta, J. R., Coherent transport of spin by adiabatic passage in quantum dot arrays, Physical Review B, vol. 102, no. 15, 2020.
M. Gullans and Taylor, J. M., A Quantum Network of Silicon Qubits using Mid-Infrared Graphene Plasmons, 2014.
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.
S. Guo, Wang, Y., Purdy, T., and Taylor, J. M., Beyond Spontaneous Emission: Giant Atom Bounded in Continuum, 2019.
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, 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.
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.
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.
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 For Distributed Average Consensus: Bounded Integral Inputs, 2018.
N. Gupta, Katz, J., and Chopra, N., Information-Theoretic Privacy in Distributed Average Consensus, 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.