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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.
E. Onorati, Rouzé, C., França, D. Stilck, and Watson, J. D., Efficient learning of ground & thermal states within phases of matter, 2023.
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.
G. Wang, Efficient quantum algorithms for analyzing large sparse electrical networks, Quantum Information & Computation, vol. 17, no. 11&12, pp. 987-1026, 2017.
S. P. Jordan and Wocjan, P., Efficient quantum circuits for arbitrary sparse unitaries, Physical Review A, vol. 80, no. 6, 2009.
O. Crawford, van Straaten, B., Wang, D., Parks, T., Campbell, E., and Brierley, S., Efficient quantum measurement of Pauli operators, Quantum, vol. 5, 2021.
P. M. Wocjan, Jordan, S. P., Ahmadi, H., and Brennan, J. P., Efficient quantum processing of ideals in finite rings, 2009.
X. Wang, Wilde, M. M., and Su, Y., Efficiently computable bounds for magic state distillation, Phys. Rev. Lett. , vol. 124, no. 090505, 2020.
X. Wang, Wilde, M. M., and Su, Y., Efficiently computable bounds for magic state distillation, Phys. Rev. Lett. , vol. 124, no. 090505, 2020.
M. Foss-Feig, Niroula, P., Young, J. T., Hafezi, M., Gorshkov, A. V., Wilson, R. M., and Maghrebi, M. F., Emergent equilibrium in many-body optical bistability, Physical Review A, vol. 95, p. 043826, 2017.
S. Bandyopadhyay, Brassard, G., Kimmel, S., and Wootters, W. K., Entanglement Cost of Nonlocal Measurements, Physical Review A, vol. 80, no. 1, 2009.
J. Cotler, Hayden, P., Penington, G., Salton, G., Swingle, B., and Walter, M., Entanglement Wedge Reconstruction via Universal Recovery Channels, 2017.
A. M. Kaufman, Lester, B. J., Foss-Feig, M., Wall, M. L., Rey, A. M., and Regal, C. A., Entangling two transportable neutral atoms via local spin exchange, Nature, vol. 527, pp. 208-211, 2015.
R. Agarwal, Rethinasamy, S., Sharma, K., and Wilde, M. M., Estimating distinguishability measures on quantum computers, 2021.
S. P. Jordan and Wocjan, P., Estimating Jones and HOMFLY polynomials with One Clean Qubit, Quantum Information and Computation, vol. 9, no. 3, pp. 264-289, 2009.
K. A. Jackson, Miller, C., and Wang, D., Evaluating the security of CRYSTALS-Dilithium in the quantum random oracle model, 2023.
Q. Wang, Cian, Z. - P., Li, M., Markov, I. L., and Nam, Y., Ever more optimized simulations of fermionic systems on a quantum computer, 2023.
X. Wang and Wilde, M. M., Exact entanglement cost of quantum states and channels under PPT-preserving operations, 2018.
X. Wang and Wilde, M. M., Exact entanglement cost of quantum states and channels under PPT-preserving operations, 2018.
K. Hietala, Li, L., Gaur, A., Green, A., Rand, R., Wu, X., and Hicks, M., Expanding the VOQC Toolkit, in The Second International Workshop on Programming Languages for Quantum Computing (PLanQC 2021), 2021.
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.
L. Lewis, Zhu, D., Gheorghiu, A., Noel, C., Katz, O., Harraz, B., Wang, Q., Risinger, A., Feng, L., Biswas, D., Egan, L., Vidick, T., Cetina, M., and Monroe, C., Experimental Implementation of an Efficient Test of Quantumness, 2022.
V. Dunjko, Liu, Y. - K., Wu, X., and Taylor, J. M., Exponential improvements for quantum-accessible reinforcement learning, 2017.
F. G. S. L. Brandão, Kalev, A., Li, T., Lin, C. Yen- Yu, Svore, K. M., and Wu, X., Exponential Quantum Speed-ups for Semidefinite Programming with Applications to Quantum Learning, 2017.
M. Winer, Jian, S. - K., and Swingle, B., An exponential ramp in the quadratic Sachdev-Ye-Kitaev model, 2020.