Publications

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M. Gullans, Taylor, J. M., and Petta, J. R., Probing electron-phonon interactions in the charge-photon dynamics of cavity-coupled double quantum dots, Physical Review B, vol. 97, no. 3, p. 035305, 2018.
M. Gullans and Taylor, J. M., Optical Control of Donor Spin Qubits in Silicon, Physical Review B, vol. 92, no. 19, p. 195411, 2015.
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, Thompson, J. D., Wang, Y., Liang, Q. - Y., Vuletic, V., Lukin, M. D., and Gorshkov, A. V., Effective Field Theory for Rydberg Polaritons, Physical Review Letters, vol. 117, no. 11, p. 113601, 2016.
M. Gullans and Huse, D. A., Dynamical Purification Phase Transition Induced by Quantum Measurements, Physical Review X, vol. 10, no. 4, 2020.
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, 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.
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.
S. Guo, Wang, Y., Purdy, T., and Taylor, J. M., Beyond Spontaneous Emission: Giant Atom Bounded in Continuum, 2019.
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.
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., Statistical Privacy in Distributed Average Consensus on Bounded Real Inputs, 2019.
N. Gupta, Katz, J., and Chopra, N., Information-Theoretic Privacy in Distributed Average Consensus, 2018.
J. Antonio Ma Guzmán, Erker, P., Gasparinetti, S., Huber, M., and Halpern, N. Yunger, DiVincenzo-like criteria for autonomous quantum machines, 2023.