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Journal Article
J. S. Douglas, Habibian, H., Hung, C. - L., Gorshkov, A. V., Kimble, H. J., and Chang, D. E., “Quantum many-body models with cold atoms coupled to photonic crystals”, Nature Photonics, vol. 9, no. 5, pp. 326 - 331, 2015.
J. Katz and Sela, B., “A Quantum "Lifting Theorem" for Constructions of Pseudorandom Generators from Random Oracles”, 2024.
Y. A. Kharkov, Oitmaa, J., and Sushkov, O. P., “Quantum Lifshitz criticality in a frustrated two-dimensional XY model”, Phys. Rev. B , vol. 101, no. 035114, 2020.
D. Kielpinski, Kafri, D., Woolley, M. J., Milburn, G. J., and Taylor, J. M., “Quantum interface between an electrical circuit and a single atom”, Physical Review Letters, vol. 108, no. 13, 2012.
D. Kielpinski, Kafri, D., Woolley, M. J., Milburn, G. J., and Taylor, J. M., “Quantum interface between an electrical circuit and a single atom”, Physical Review Letters, vol. 108, no. 13, 2012.
A. M. Childs, Kothari, R., Kovacs-Deak, M., Sundaram, A., and Wang, D., “Quantum divide and conquer”, 2022.
A. M. Childs, Kothari, R., Kovacs-Deak, M., Sundaram, A., and Wang, D., “Quantum divide and conquer”, 2022.
S. Arunachalam, Belovs, A., Childs, A. M., Kothari, R., Rosmanis, A., and de Wolf, R., “Quantum Coupon Collector”, Proceedings of the 15th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2020), Leibniz International Proceedings in Informatics, vol. 158, pp. 10:1-10:17, 2020.
K. R. A. Hazzard, van den Worm, M., Foss-Feig, M., Manmana, S. R., Torre, E. Dalla, Pfau, T., Kastner, M., and Rey, A. Maria, “Quantum correlations and entanglement in far-from-equilibrium spin systems ”, Physical Review A, vol. 90, no. 6, 2014.
Y. Alexeev, Bacon, D., Brown, K. R., Calderbank, R., Carr, L. D., Chong, F. T., DeMarco, B., Englund, D., Farhi, E., Fefferman, B., Gorshkov, A. V., Houck, A., Kim, J., Kimmel, S., Lange, M., Lloyd, S., Lukin, M. D., Maslov, D., Maunz, P., Monroe, C., Preskill, J., Roetteler, M., Savage, M., Thompson, J., and Vazirani, U., “Quantum Computer Systems for Scientific Discovery”, 2019.
Y. Alexeev, Bacon, D., Brown, K. R., Calderbank, R., Carr, L. D., Chong, F. T., DeMarco, B., Englund, D., Farhi, E., Fefferman, B., Gorshkov, A. V., Houck, A., Kim, J., Kimmel, S., Lange, M., Lloyd, S., Lukin, M. D., Maslov, D., Maunz, P., Monroe, C., Preskill, J., Roetteler, M., Savage, M., Thompson, J., and Vazirani, U., “Quantum Computer Systems for Scientific Discovery”, 2019.
S. Kimmel and Liu, Y. - K., “Quantum Compressed Sensing Using 2-Designs”, 2015.
M. Gullans, Krastanov, S., Huse, D. A., Jiang, L., and Flammia, S. T., “Quantum coding with low-depth random circuits”, 2020.
M. F. Maghrebi, Golestanian, R., and Kardar, M., “Quantum Cherenkov Radiation and Non-contact Friction”, Physical Review A, vol. 88, no. 4, 2013.
P. Richerme, Senko, C., Korenblit, S., Smith, J., Lee, A., Islam, R., Campbell, W. C., and Monroe, C., “Quantum Catalysis of Magnetic Phase Transitions in a Quantum Simulator”, Physical Review Letters, vol. 111, no. 10, 2013.
G. Pagano, Bapat, A., Becker, P., Collins, K. S., De, A., Hess, P. W., Kaplan, H. B., Kyprianidis, A., Tan, W. L., Baldwin, C. L., Brady, L. T., Deshpande, A., Liu, F., Jordan, S., Gorshkov, A. V., and Monroe, C., “Quantum Approximate Optimization with a Trapped-Ion Quantum Simulator”, 2019.
G. Pagano, Bapat, A., Becker, P., Collins, K. S., De, A., Hess, P. W., Kaplan, H. B., Kyprianidis, A., Tan, W. L., Baldwin, C. L., Brady, L. T., Deshpande, A., Liu, F., Jordan, S., Gorshkov, A. V., and Monroe, C., “Quantum Approximate Optimization with a Trapped-Ion Quantum Simulator”, 2019.
D. Wang, Sundaram, A., Kothari, R., Kapoor, A., and Roetteler, M., “Quantum Algorithms for Reinforcement Learning with a Generative Model”, Proceedings of the 38th International Conference on Machine Learning, PMLR, vol. 139, 2021.
D. Wang, Sundaram, A., Kothari, R., Kapoor, A., and Roetteler, M., “Quantum Algorithms for Reinforcement Learning with a Generative Model”, Proceedings of the 38th International Conference on Machine Learning, PMLR, vol. 139, 2021.
S. Jeffery and Kimmel, S., “Quantum Algorithms for Graph Connectivity and Formula Evaluation”, 2017.
A. M. Childs, Coudron, M., and Gilani, A. Shiraz, “Quantum Algorithms and the Power of Forgetting”, 14th Innovations in Theoretical Computer Science Conference (ITCS 2023), vol. 251, p. 37:1--37:22, 2023.
A. M. Childs, Kothari, R., and Somma, R. D., “Quantum algorithm for systems of linear equations with exponentially improved dependence on precision”, SIAM Journal on Computing, vol. 46, no. 6, pp. 1920-1950, 2017.
S. Kimmel, “Quantum Adversary (Upper) Bound”, Chicago Journal of Theoretical Computer Science, vol. 19, no. 1, pp. 1 - 14, 2013.
J. P. Zwolak, Kalantre, S. S., Wu, X., Ragole, S., and Taylor, J. M., “QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments”, PLOS ONE, vol. 13, no. 10, p. e0205844, 2018.
X. Ma, Jackson, T., Zhou, H., Chen, J., Lu, D., Mazurek, M. D., Fisher, K. A. G., Peng, X., Kribs, D., Resch, K. J., Ji, Z., Zeng, B., and Laflamme, R., “Pure-state tomography with the expectation value of Pauli operators”, Physical Review A, vol. 93, no. 3, p. 032140, 2016.