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G
M. Gullans, Caranti, M., Mills, A. R., and Petta, J. R., “Compressed gate characterization for quantum devices with time-correlated noise”, 2023.
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, 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.
M. Gullans and Taylor, J. M., “A Quantum Network of Silicon Qubits using Mid-Infrared Graphene Plasmons”, 2014.
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, 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.
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, 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.
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., “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, 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., “Equilibration to the non-Abelian thermal state in quantum many-body physics”, 2019.
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., “Noncommuting conserved charges in quantum many-body thermalization”, Phys. Rev. E , vol. 101, no. 042117, 2020.