Publications

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2020
F. Liu, Yang, Z. - C., Bienias, P., Iadecola, T., and Gorshkov, A. V., Localization and criticality in antiblockaded 2D Rydberg atom arrays, 2020.
J. T. Young, Gorshkov, A. V., Foss-Feig, M., and Maghrebi, M. F., Non-equilibrium fixed points of coupled Ising models, Phys. Rev. X , vol. 10, no. 011039 , 2020.
D. V. Else, Monroe, C., Nayak, C., and Yao, N. Y., Discrete Time Crystals, Annual Review of Condensed Matter Physics , vol. 11, pp. 467-499, 2020.
Y. Yoo, Lee, J., and Swingle, B., Non-equilibrium steady state phases of the interacting Aubry-Andre-Harper model, 2020.
Z. - C. Yang, Liu, F., Gorshkov, A. V., and Iadecola, T., Hilbert-Space Fragmentation from Strict Confinement, Phys. Rev. Lett., vol. 124, no. 207602, 2020.
J. T. Young, Bienias, P., Belyansky, R., Kaufman, A. M., and Gorshkov, A. V., Asymmetric blockade and multi-qubit gates via dipole-dipole interactions, 2020.
J. B. Curtis, Boettcher, I., Young, J. T., Maghrebi, M. F., Carmichael, H., Gorshkov, A. V., and Foss-Feig, M., Critical Theory for the Breakdown of Photon Blockade, 2020.
X. Yuan, Sun, J., Liu, J., Zhao, Q., and Zhou, Y., Quantum simulation with hybrid tensor networks, 2020.
S. Lieu, Belyansky, R., Young, J. T., Lundgren, R., Albert, V. V., and Gorshkov, A. V., Symmetry breaking and error correction in open quantum systems, Phys. Rev. Lett. , vol. 125, p. 240405, 2020.
2021
Y. Peng, Ying, M., and Wu, X., Algebraic Reasoning of Quantum Programs via Non-Idempotent Kleene Algebra, 2021.
X. You and Wu, X., Exponentially Many Local Minima in Quantum Neural Networks, Proceedings of the 38th International Conference on Machine Learning, PMLR, vol. 139, pp. 12144-12155, 2021.
H. Mousavi, Nezhadi, S. Sajjad, and Yuen, H., Nonlocal Games, Compression Theorems, and the Arithmetical Hierarchy, 2021.
J. T. Young, Gorshkov, A. V., and Spielman, I. B., Feedback-stabilized dynamical steady states in the Bose-Hubbard model, Phys. Rev. Research, vol. 3, no. 4, p. 043075 , 2021.
D. Zhu, Kahanamoku-Meyer, G. D., Lewis, L., Noel, C., Katz, O., Harraz, B., Wang, Q., Risinger, A., Feng, L., Biswas, D., Egan, L., Gheorghiu, A., Nam, Y., Vidick, T., Vazirani, U., Yao, N. Y., Cetina, M., and Monroe, C., Interactive Protocols for Classically-Verifiable Quantum Advantage, 2021.
W. Morong, Liu, F., Becker, P., Collins, K. S., Feng, L., Kyprianidis, A., Pagano, G., You, T., Gorshkov, A. V., and Monroe, C., Observation of Stark many-body localization without disorder, 2021.
A. Kyprianidis, Machado, F., Morong, W., Becker, P., Collins, K. S., Else, D. V., Feng, L., Hess, P. W., Nayak, C., Pagano, G., Yao, N. Y., and Monroe, C., Observation of a prethermal discrete time crystal, 2021.
D. Wang, You, X., Li, T., and Childs, A. M., Quantum exploration algorithms for multi-armed bandits, Proceedings of the 35th Conference on Artificial Intelligence (AAAI 2021), vol. 35, no. 11, pp. 10102-10110, 2021.
Q. Zhao and Yuan, X., Exploiting anticommutation in Hamiltonian simulation, 2021.
N. - H. Chia, Chung, K. - M., Liu, Q., and Yamakawa, T., On the Impossibility of Post-Quantum Black-Box Zero-Knowledge in Constant Rounds, 2021.
E. Guardado-Sanchez, Spar, B. M., Schauss, P., Belyansky, R., Young, J. T., Bienias, P., Gorshkov, A. V., Iadecola, T., and Bakr, W. S., Quench Dynamics of a Fermi Gas with Strong Long-Range Interactions, Phys. Rev. X, vol. 11, 2021.
L. Li, Young, D. J., Albert, V. V., Noh, K., Zou, C. - L., and Jiang, L., Phase-engineered bosonic quantum codes, Physical Review A, vol. 103, no. 6, p. 062427, 2021.
C. M. Langlett, Yang, Z. - C., Wildeboer, J., Gorshkov, A. V., Iadecola, T., and Xu, S., Rainbow Scars: From Area to Volume Law, 2021.
F. Caravelli, Yan, B., García-Pintos, L. Pedro, and Hamma, A., Energy storage and coherence in closed and open quantum batteries, Quantum, vol. 5, p. 505, 2021.
X. Yuan, Sun, J., Liu, J., Zhao, Q., and Zhou, Y., Quantum Simulation with Hybrid Tensor Networks, Physical Review Letters, vol. 127, 2021.
M. Pistoia, Ahmad, S. Farhan, Ajagekar, A., Buts, A., Chakrabarti, S., Herman, D., Hu, S., Jena, A., Minssen, P., Niroula, P., Rattew, A., Sun, Y., and Yalovetzky, R., Quantum Machine Learning for Finance, 2021.