Publications

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M. F. Maghrebi, Gorshkov, A. V., and Sau, J. D., Fluctuation-induced torque on a topological insulator out of thermal equilibrium, Phys. Rev. Lett., vol. 123, no. 055901, 2019.
L. Pedro García-Pintos, Hamma, A., and del Campo, A., Fluctuations in Extractable Work Bound the Charging Power of Quantum Batteries, Phys. Rev. Lett. , vol. 125, no. 040601, 2020.
S. Paul and Tiesinga, E., Formation and decay of Bose-Einstein condensates in an excited band of a double-well optical lattice , Physical Review A, vol. 88, no. 3, 2013.
C. Makrides, Li, M., Tiesinga, E., and Kotochigova, S., Fractal Universality in Near-Threshold Magnetic Lanthanide Dimers, Science Advances, vol. 4, no. 2, p. eaap8308, 2018.
T. Graß, Bienias, P., Gullans, M., Lundgren, R., Maciejko, J., and Gorshkov, A. V., Fractional quantum Hall phases of bosons with tunable interactions: From the Laughlin liquid to a fractional Wigner crystal, 2018.
M. F. Maghrebi, Yao, N. Y., Hafezi, M., Pohl, T., Firstenberg, O., and Gorshkov, A. V., Fractional Quantum Hall States of Rydberg Polaritons, Physical Review A, vol. 91, no. 3, p. 033838, 2015.
A. M. Childs, Leung, D., Mancinska, L., and Ozols, M., A framework for bounding nonlocality of state discrimination, Communications in Mathematical Physics, vol. 323, no. 3, pp. 1121 - 1153, 2013.
Y. Su, Framework for Hamiltonian simulation and beyond: standard-form encoding, qubitization, and quantum signal processing, Quantum Views , vol. 3, no. 21, 2019.
V. Dunjko, Taylor, J. M., and Briegel, H. J., Framework for learning agents in quantum environments, 2015.
E. Kubischta and Teixeira, I., Free Quantum Codes from Twisted Unitary $t$-groups, 2024.
J. Chen, Ji, Z., Zeng, B., and Zhou, D. L., From Ground States to Local Hamiltonians, Physical Review A, vol. 86, no. 2, 2012.
C. Stambaugh, Xu, H., Kemiktarak, U., Taylor, J. M., and Lawall, J., From membrane-in-the-middle to mirror-in-the-middle with a high-reflectivity sub-wavelength grating, Annalen der Physik, vol. 527, no. 1-2, pp. 81 - 88, 2015.
D. Bacon, Childs, A. M., and van Dam, W., From optimal measurement to efficient quantum algorithms for the hidden subgroup problem over semidirect product groups , 2005.
C. J. Cao, From Quantum Codes to Gravity: A Journey of Gravitizing Quantum Mechanics, 2021.
R. Belyansky, Whitsitt, S., Lundgren, R., Wang, Y., Vrajitoarea, A., Houck, A. A., and Gorshkov, A. V., Frustration-induced anomalous transport and strong photon decay in waveguide QED, Phys. Rev. Research, vol. 3, no. 032058, 2021.
D. Mazza and Ross, N. J., Full Abstraction for Set-Based Models of the Symmetric Interaction Combinators, Proceedings of the 15th International Conference on Foundations of Software Science and Computation Structures, vol. 7213, pp. 316-330, 2012.
N. Rodrigues and Lackey, B., Fully device-independent quantum key distribution using synchronous correlations, 2021.
M. Jarret and Jordan, S. P., The Fundamental Gap for a Class of Schrödinger Operators on Path and Hypercube Graphs, Journal of Mathematical Physics, vol. 55, no. 5, p. 052104, 2014.
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J. D. E. Grant and Lackey, B., On Galilean connections and the first jet bundle, 1999.
J. DE Grant and Lackey, B., On Galilean connections and the first jet bundle, Central European Journal of Mathematics, vol. 10, pp. 1889–1895, 2012.
L. Pedro García-Pintos, Hamma, A., and del Campo, A., García-Pintos, Hamma, and del Campo Reply, Phys. Rev. Lett., vol. 127, p. 028902, 2021.
B. Lackey, On the Gauss–Bonnet Formula in Riemann–Finsler Geometry, Bulletin of the London Mathematical Society, vol. 34, pp. 329–340, 2002.
B. Richman, Ghosh, S., Carney, D., Higgins, G., Shawhan, P., Lobb, C. J., and Taylor, J. M., A general approach to backaction-evading receivers with magnetomechanical and electromechanical sensors, 2023.
Z. Davoudi, Shaw, A. F., and Stryker, J. R., General quantum algorithms for Hamiltonian simulation with applications to a non-Abelian lattice gauge theory, Quantum, vol. 7, p. 1213, 2023.
M. C. Caro, Huang, H. - Y., Cerezo, M., Sharma, K., Sornborger, A., Cincio, L., and Coles, P. J., Generalization in quantum machine learning from few training data, 2021.