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G. W. Alldredge, Hauck, C. D., O'Leary, D. P., and Tits, A. L., Adaptive change of basis in entropy-based moment closures for linear kinetic equations, Journal of Computational Physics, vol. 258, pp. 489 - 508, 2014.
A. Almheiri, Milekhin, A., and Swingle, B., Universal Constraints on Energy Flow and SYK Thermalization, 2019.
Y. Alnawakhtha and Miller, C., Where we are with quantum, Nature Physics, 2022.
Y. Alnawakhtha, Mantri, A., Miller, C., and Wang, D., Lattice-Based Quantum Advantage from Rotated Measurements, 2022.
P. Alsing, Battle, P., Bienfang, J. C., Borders, T., Brower-Thomas, T., Carr, L. D., Chong, F., Dadras, S., DeMarco, B., Deutsch, I., Figueroa, E., Freedman, D., Everitt, H., Gauthier, D., Johnston-Halperin, E., Kim, J., Kira, M., Kumar, P., Kwiat, P., Lekki, J., Loiacono, A., Lončar, M., Lowell, J. R., Lukin, M., Merzbacher, C., Miller, A., Monroe, C., Pollanen, J., Pappas, D., Raymer, M., Reano, R., Rodenburg, B., Savage, M., Searles, T., and Ye, J., Accelerating Progress Towards Practical Quantum Advantage: The Quantum Technology Demonstration Project Roadmap, 2023.
E. Altman, Brown, K. R., Carleo, G., Carr, L. D., Demler, E., Chin, C., DeMarco, B., Economou, S. E., Eriksson, M. A., Fu, K. - M. C., Greiner, M., Hazzard, K. R. A., Hulet, R. G., Kollár, A. J., Lev, B. L., Lukin, M. D., Ma, R., Mi, X., Misra, S., Monroe, C., Murch, K., Nazario, Z., Ni, K. - K., Potter, A. C., and Roushan, P., Quantum Simulators: Architectures and Opportunities, 2019.
A. Ambainis, Childs, A. M., and Liu, Y. - K., Quantum property testing for bounded-degree graphs, Proc. RANDOM, pp. 365-376, 2010.
A. Ambainis, Childs, A. M., Le Gall, F., and Tani, S., The quantum query complexity of certification, 2009.
M. Amy, Chen, J., and Ross, N. J., A finite presentation of CNOT-dihedral operators, 2016.
M. Amy, Glaudell, A. N., and Ross, N. J., Number-Theoretic Characterizations of Some Restricted Clifford+T Circuits, 2019.
D. An, Fang, D., Jordan, S., Liu, J. - P., Low, G. Hao, and Wang, J., Efficient quantum algorithm for nonlinear reaction-diffusion equations and energy estimation, 2022.
D. An, Linden, N., Liu, J. - P., Montanaro, A., Shao, C., and Wang, J., Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance, Quantum 5, 481 (2021), vol. 5, p. 481, 2021.
D. An, Liu, J. - P., and Lin, L., Linear combination of Hamiltonian simulation for non-unitary dynamics with optimal state preparation cost, Phys. Rev. Lett., vol. 131, no. 150603, 2023.
D. An, Childs, A. M., and Lin, L., Quantum algorithm for linear non-unitary dynamics with near-optimal dependence on all parameters, 2023.
D. An, Fang, D., and Lin, L., Time-dependent Hamiltonian Simulation of Highly Oscillatory Dynamics and Superconvergence for Schrödinger Equation, Quantum, vol. 6, p. 690, 2022.
D. An, Liu, J. - P., Wang, D., and Zhao, Q., A theory of quantum differential equation solvers: limitations and fast-forwarding, 2022.
D. An, Liu, J. - P., Wang, D., and Zhao, Q., A theory of quantum differential equation solvers: limitations and fast-forwarding, 2023.
A. Anandkumar, Foster, D. P., Hsu, D., Kakade, S. M., and Liu, Y. - K., A Spectral Algorithm for Latent Dirichlet Allocation, Algorithmica, pp. 193-214, 2012.
B. M. Anderson, Taylor, J. M., and Galitski, V. M., Interferometry with Synthetic Gauge Fields, Physical Review A, vol. 83, no. 3, 2011.
F. Andreoli, Windt, B., Grava, S., Andolina, G. Marcello, Gullans, M., High, A. A., and Chang, D. E., The maximum refractive index of an atomic crystal - from quantum optics to quantum chemistry, 2023.
F. Andreoli, Gullans, M., High, A. A., Browaeys, A., and Chang, D. E., Maximum Refractive Index of an Atomic Medium, Physical Review X, vol. 11, no. 1, 2021.
A. Anshu, Touchette, D., Yao, P., and Yu, N., Exponential Separation of Quantum Communication and Classical Information, in 20th Annual Conference on Quantum Information Processing (QIP), 2016.
A. Singh Arora, Coladangelo, A., Coudron, M., Gheorghiu, A., Singh, U., and Waldner, H., Quantum Depth in the Random Oracle Model, 2022.
S. Arunachalam, Grilo, A. B., and Sundaram, A., Quantum hardness of learning shallow classical circuits, 2019.
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.