Publications

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M. Gullans and Taylor, J. M., A Quantum Network of Silicon Qubits using Mid-Infrared Graphene Plasmons, 2014.
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 Huse, D. A., Dynamical Purification Phase Transition Induced by Quantum Measurements, Physical Review X, vol. 10, no. 4, 2020.
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, 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, 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, Caranti, M., Mills, A. R., and Petta, J. R., Compressed gate characterization for quantum devices with time-correlated noise, 2023.
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, 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.
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, 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.
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.
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.
N. Gupta, Katz, J., and Chopra, N., Information-Theoretic Privacy For Distributed Average Consensus: Bounded Integral Inputs, 2018.
J. Antonio Ma Guzmán, Erker, P., Gasparinetti, S., Huber, M., and Halpern, N. Yunger, DiVincenzo-like criteria for autonomous quantum machines, 2023.