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G
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 Huse, D. A., “Dynamical Purification Phase Transition Induced by Quantum Measurements”, Physical Review X, vol. 10, no. 4, 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 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, 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, Krastanov, S., Huse, D. A., Jiang, L., and Flammia, S. T., “Quantum coding with low-depth random circuits”, 2020.
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, 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.
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.
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.
H
J. Haferkamp, Faist, P., Kothakonda, N. B. T., Eisert, J., and Halpern, N. Yunger, “Linear growth of quantum circuit complexity”, Nat. Phys., 2022.
M. Hafezi, Adhikari, P., and Taylor, J. M., “A chemical potential for light”, Physical Review B, vol. 92, no. 17, p. 174305, 2015.
N. Yunger Halpern, Beverland, M. E., and Kalev, A., “Equilibration to the non-Abelian thermal state in quantum many-body physics”, 2019.
N. Yunger Halpern, Swingle, B., and Dressel, J., “The quasiprobability behind the out-of-time-ordered correlator”, Phys. Rev. , vol. A, no. 97, 2018.
N. Yunger Halpern, Kothakonda, N. B. T., Haferkamp, J., Munson, A., Eisert, J., and Faist, P., “Resource theory of quantum uncomplexity”, Physical Review A, vol. 106, 2022.
N. Yunger Halpern, Kothakonda, N. B. T., Haferkamp, J., Munson, A., Eisert, J., and Faist, P., “Resource theory of quantum uncomplexity”, 2021.
N. Yunger Halpern and Majidy, S., “How to build Hamiltonians that transport noncommuting charges in quantum thermodynamics”, npj Quantum Inf, vol. 8, no. 10, 2022.