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 and Huse, D. A., Dynamical Purification Phase Transition Induced by Quantum Measurements, Physical Review X, vol. 10, no. 4, 2020.
M. Gullans and Taylor, J. M., A Quantum Network of Silicon Qubits using Mid-Infrared Graphene Plasmons, 2014.
M. Gullans, Krich, J. J., Taylor, J. M., Bluhm, H., Halperin, B. I., Marcus, C. M., Stopa, M., Yacoby, A., and Lukin, M. D., Dynamic Nuclear Polarization in Double Quantum Dots, Physical Review Letters, vol. 104, no. 22, 2010.
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, 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, Taylor, J. M., Imamoglu, A., Ghaemi, P., and Hafezi, M., High-Order Multipole Radiation from Quantum Hall States in Dirac Materials, Physical Review B, vol. 95, no. 23, p. 235439, 2017.
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, 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.
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, 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.