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D. Wang, Higgott, O., and Brierley, S., Accelerated Variational Quantum Eigensolver, Phys. Rev. Lett. , vol. 122, no. 140504 , 2019.
S. Wang, Fontana, E., Cerezo, M., Sharma, K., Sone, A., Cincio, L., and Coles, P. J., Noise-induced barren plateaus in variational quantum algorithms, Nature Communications, vol. 12, p. 6961, 2021.
C. - H. Wang, Gullans, M., Porto, J. V., Phillips, W. D., and Taylor, J. M., Photon thermalization via laser cooling of atoms, Phys. Rev. A 98, 013834, 2018.
X. Wang, Wilde, M. M., and Su, Y., Quantifying the magic of quantum channels, New Journal of Physics, vol. 21, no. 103002, 2019.
X. Wang and Wilde, M. M., Resource theory of asymmetric distinguishability for quantum channels, 2019.
Y. Wang, Tran, M. C., and Taylor, J. M., Quantum simulation of ferromagnetic Heisenberg model, 2017.
X. Wang, Wilde, M. M., and Su, Y., Efficiently computable bounds for magic state distillation, Phys. Rev. Lett. , vol. 124, no. 090505, 2020.
Y. Wang, Gullans, M., Na, X., Whitsitt, S., and Gorshkov, A. V., Universal scattering with general dispersion relations, Phys. Rev. Research, vol. 4, 2022.
Y. Wang, Gullans, M., Browaeys, A., Porto, J. V., Chang, D. E., and Gorshkov, A. V., Single-photon bound states in atomic ensembles, 2018.
Q. Wang, Zhukas, L., Miao, Q., Dalvi, A. S., Love, P. J., Monroe, C., Chong, F. T., and Ravi, G. Subramania, Demonstration of a CAFQA-bootstrapped Variational Quantum Eigensolver on a Trapped-Ion Quantum Computer, 2024.
G. Wang, Efficient quantum algorithms for analyzing large sparse electrical networks, Quantum Information & Computation, vol. 17, no. 11&12, pp. 987-1026, 2017.
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.
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.
C. - H. Wang and Taylor, J. M., Landauer formulation of photon transport in driven systems, Physical Review B, vol. 94, no. 15, p. 155437, 2016.
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.
Y. - X. Wang, Bringewatt, J., Seif, A., Brady, A. J., Oh, C., and Gorshkov, A. V., Exponential entanglement advantage in sensing correlated noise, 2024.
X. Wang and Wilde, M. M., α-Logarithmic negativity, 2019.
Y. Wang, Gullans, M., Na, X., and Gorshkov, A. V., Universality in one-dimensional scattering with general dispersion relations, Phys. Rev. Res., vol. 4, 2022.
G. Wang, Quantum Algorithm for Linear Regression, Physical Review A, vol. 96, p. 012335, 2017.
Q. Wang, Li, M., Monroe, C., and Nam, Y., Resource-Optimized Fermionic Local-Hamiltonian Simulation on Quantum Computer for Quantum Chemistry, Quantum, vol. 5, no. 509, 2021.
G. Wang, Quantum Algorithms for Curve Fitting, 2014.
P. Walther, Eisaman, M. D., Nemiroski, A., Gorshkov, A. V., Zibrov, A. S., Zeilinger, A., and Lukin, M. D., Multi-photon Entanglement: From Quantum Curiosity to Quantum Computing and Quantum Repeaters, Proc. SPIE, vol. 6664, p. 66640G, 2007.
B. D. Walker, Lackey, B. C., Muller, J. S., and Schone, P. John, Language-reconfigurable universal phone recognition, in Eighth European Conference on Speech Communication and Technology, 2003.
E. Waks and Monroe, C., Protocol for Hybrid Entanglement Between a Trapped Atom and a Semiconductor Quantum Dot , Physical Review A, vol. 80, no. 6, 2009.