Publications

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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.
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, 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, 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 Huse, D. A., Dynamical Purification Phase Transition Induced by Quantum Measurements, Physical Review X, vol. 10, no. 4, 2020.
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, 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.
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, 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, 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., 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.