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M. Van Regemortel, Cian, Z. - P., Seif, A., Dehghani, H., and Hafezi, M., “Entanglement entropy scaling transition under competing monitoring protocols”, 2020.
M. Van Regemortel, Shtanko, O., García-Pintos, L. Pedro, Deshpande, A., Dehghani, H., Gorshkov, A. V., and Hafezi, M., “Monitoring-induced Entanglement Entropy and Sampling Complexity”, 2022.
R. Verdel, Liu, F., Whitsitt, S., Gorshkov, A. V., and Heyl, M., “Real-time dynamics of string breaking in quantum spin chains”, 2019.
D. Vodola, Lepori, L., Ercolessi, E., Gorshkov, A. V., and Pupillo, G., “Kitaev chains with long-range pairing”, Physical Review Letters, vol. 113, no. 15, 2014.
F. Voichick, Li, L., Rand, R., and Hicks, M., “Qunity: A Unified Language for Quantum and Classical Computing (Extended Version)”, 2022.
A. Vrajitoarea, Belyansky, R., Lundgren, R., Whitsitt, S., Gorshkov, A. V., and Houck, A. A., “Ultrastrong light-matter interaction in a photonic crystal”, 2022.
A. Vrajitoarea, Belyansky, R., Lundgren, R., Whitsitt, S., Gorshkov, A. V., and Houck, A. A., “Ultrastrong light-matter interaction in a multimode photonic crystal”, 2024.
M. Vuffray, Coffrin, C., Kharkov, Y. A., and Lokhov, A. Y., “Programmable Quantum Annealers as Noisy Gibbs Samplers”, 2020.
W
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.
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.
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.
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., “Exact entanglement cost of quantum states and channels under PPT-preserving operations”, 2018.
G. Wang, “Efficient quantum algorithms for analyzing large sparse electrical networks”, Quantum Information & Computation, vol. 17, no. 11&12, pp. 987-1026, 2017.
X. Wang, Wilde, M. M., and Su, Y., “Efficiently computable bounds for magic state distillation”, Phys. Rev. Lett. , vol. 124, no. 090505, 2020.
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.
C. - H. Wang and Taylor, J. M., “A Quantum Model for an Entropic Spring”, Physical Review B, vol. 93, no. 21, p. 214102, 2016.
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.
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., 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.
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.
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, 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.
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.