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G
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 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 and Taylor, J. M., “Optical Control of Donor Spin Qubits in Silicon”, Physical Review B, vol. 92, no. 19, p. 195411, 2015.
M. Gullans, Krastanov, S., Huse, D. A., Jiang, L., and Flammia, S. T., “Quantum coding with low-depth random circuits”, 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, 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, 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.
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, 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.
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, 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.
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.
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, 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.
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, Beverland, M. E., and Kalev, A., “Noncommuting conserved charges in quantum many-body thermalization”, Phys. Rev. E , vol. 101, no. 042117, 2020.