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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.
M. Van Regemortel, Cian, Z. - P., Seif, A., Dehghani, H., and Hafezi, M., “Entanglement entropy scaling transition under competing monitoring protocols”, 2020.
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.
G. Wang, “Quantum Algorithms for Curve Fitting”, 2014.
X. Wang and Wilde, M. M., “Resource theory of asymmetric distinguishability for quantum channels”, 2019.
C. - H. Wang and Taylor, J. M., “Optomechanical approach to controlling the temperature and chemical potential of light”, Phys. Rev. A 97, 033850, 2018.
C. - H. Wang and Taylor, J. M., “A Quantum Model for an Entropic Spring”, Physical Review B, vol. 93, no. 21, p. 214102, 2016.
C. - H. Wang, Gullans, M., Porto, J. V., Phillips, W. D., and Taylor, J. M., “Bose Condensation of Photons Thermalized via Laser Cooling of Atoms”, 2018.
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.
D. Wang, “Simulating quantum circuits by classical circuits”, 2019.
X. Wang, Wilde, M. M., and Su, Y., “Quantifying the magic of quantum channels”, New Journal of Physics, vol. 21, no. 103002, 2019.
Y. Wang, Tran, M. C., and Taylor, J. M., “Quantum simulation of ferromagnetic Heisenberg model”, 2017.
X. Wang and Wilde, M. M., “Exact entanglement cost of quantum states and channels under PPT-preserving operations”, 2018.
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, 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.
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.
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.