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D
S. Debnath, Linke, N. M., Figgatt, C., Landsman, K. A., Wright, K., and Monroe, C., Demonstration of a small programmable quantum computer with atomic qubits, Nature, vol. 536, no. 7614, pp. 63-66, 2016.
B. R. Johnson, da Silva, M. P., Ryan, C. A., Kimmel, S., Chow, J. M., and Ohki, T. A., Demonstration of Robust Quantum Gate Tomography via Randomized Benchmarking, New Journal of Physics, vol. 17, no. 11, p. 113019, 2015.
A. Hu, Mathey, L., Tiesinga, E., Danshita, I., Williams, C. J., and Clark, C. W., Detecting paired and counterflow superfluidity via dipole oscillations, Physical Review A, vol. 84, no. 4, 2011.
D. Awschalom, Berggren, K. K., Bernien, H., Bhave, S., Carr, L. D., Davids, P., Economou, S. E., Englund, D., Faraon, A., Fejer, M., Guha, S., Gustafsson, M. V., Hu, E., Jiang, L., Kim, J., Korzh, B., Kumar, P., Kwiat, P. G., Lončar, M., Lukin, M. D., Miller, D. A. B., Monroe, C., Nam, S. Woo, Narang, P., and Orcutt, J. S., Development of Quantum InterConnects for Next-Generation Information Technologies, 2019.
J. Bringewatt, Dorland, W., Jordan, S. P., and Mink, A., Diffusion Monte Carlo Versus Adiabatic Computation for Local Hamiltonians, Physical Review A, vol. 97, no. 2, p. 022323, 2018.
K. Seetharam, Biswas, D., Noel, C., Risinger, A., Zhu, D., Katz, O., Chattopadhyay, S., Cetina, M., Monroe, C., Demler, E., and Sels, D., Digital quantum simulation of NMR experiments, Science Advances, vol. 9, 2023.
B. J. Sawyer, Horvath, M. S. J., Tiesinga, E., Deb, A. B., and Kjærgaard, N., Dispersive optical detection of magnetic Feshbach resonances in ultracold gases, Physical Review A, vol. 96, no. 2, p. 022705, 2017.
A. Deshpande, Fefferman, B., Tran, M. C., Foss-Feig, M., and Gorshkov, A. V., Dynamical phase transitions in sampling complexity, Phys. Rev. Lett., vol. 121, no. 030501, p. 12 pages, 4 figures. v3: published version, 2018.
Z. - X. Gong, Yin, Z. -qi, and Duan, L. - M., Dynamics of Overhauser Field under nuclear spin diffusion in a quantum dot , New Journal of Physics, vol. 13, no. 3, p. 033036, 2011.
E
J. Lukas Bosse, Childs, A. M., Derby, C., Gambetta, F. Maria, Montanaro, A., and Santos, R. A., Efficient and practical Hamiltonian simulation from time-dependent product formulas, 2024.
Q. Chen, Du, Y., Zhao, Q., Jiao, Y., Lu, X., and Wu, X., Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning, 2022.
Z. Liu, Devulapalli, D., Hangleiter, D., Liu, Y. - K., Kollár, A. J., Gorshkov, A. V., and Childs, A. M., Efficiently verifiable quantum advantage on near-term analog quantum simulators, 2024.
M. Gullans, Diehl, S., Rittenhouse, S. T., Ruzic, B. P., D'Incao, J. P., Julienne, P., Gorshkov, A. V., and Taylor, J. M., Efimov States of Strongly Interacting Photons, Physical Review Letters, vol. 119, no. 23, p. 233601, 2017.
M. Gullans, Diehl, S., Rittenhouse, S. T., Ruzic, B. P., D'Incao, J. P., Julienne, P., Gorshkov, A. V., and Taylor, J. M., Efimov States of Strongly Interacting Photons, Physical Review Letters, vol. 119, no. 23, p. 233601, 2017.
Z. Eldredge, Zhou, L., Bapat, A., Garrison, J. R., Deshpande, A., Chong, F. T., and Gorshkov, A. V., Entanglement Bounds on the Performance of Quantum Computing Architectures, Phys. Rev. Research, vol. 2, no. 033316, 2020.
M. Van Regemortel, Cian, Z. - P., Seif, A., Dehghani, H., and Hafezi, M., Entanglement entropy scaling transition under competing monitoring protocols, 2020.
P. Nguyen, Devakul, T., Halbasch, M. G., Zaletel, M. P., and Swingle, B., Entanglement of purification: from spin chains to holography, Journal of High Energy Physics, p. 98, 2018.
L. Pedro García-Pintos, Bharti, K., Bringewatt, J., Dehghani, H., Ehrenberg, A., Halpern, N. Yunger, and Gorshkov, A. V., Estimation of Hamiltonian parameters from thermal states, 2024.
J. Chen, Duan, R., Ji, Z., Ying, M., and Yu, J., Existence of Universal Entangler, Journal of Mathematical Physics, vol. 49, no. 1, p. 012103, 2008.
N. M. Linke, Maslov, D., Roetteler, M., Debnath, S., Figgatt, C., Landsman, K. A., Wright, K., and Monroe, C., Experimental Comparison of Two Quantum Computing Architectures, Proceedings of the National Academy of Sciences, vol. 114. pp. 3305-3310, 2017.
N. M. Linke, Gutierrez, M., Landsman, K. A., Figgatt, C., Debnath, S., Brown, K. R., and Monroe, C., Experimental demonstration of quantum fault tolerance, 2016.
H. Sosa-Martinez, Lysne, N. K., Baldwin, C. H., Kalev, A., Deutsch, I. H., and Jessen, P. S., Experimental Study of Optimal Measurements for Quantum State Tomography, Physical Review Letters, vol. 119, no. 15, p. 150401, 2017.
A. M. Childs, Cleve, R., Deotto, E., Farhi, E., Gutmann, S., and Spielman, D. A., Exponential algorithmic speedup by quantum walk, 2002.
V. Dunjko, Liu, Y. - K., Wu, X., and Taylor, J. M., Exponential improvements for quantum-accessible reinforcement learning, 2017.
Z. Yang, Zhang, T., Lu, J., Su, Y., Zhang, D., and Duan, Y., Extreme learning machines for regression based on V-matrix method, Cognitive Neurodynamics, 2017.