Publications

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X. Wang, Wilde, M. M., and Su, Y., Quantifying the magic of quantum channels, New Journal of Physics, vol. 21, no. 103002, 2019.
Y. - X. Wang, Bringewatt, J., Seif, A., Brady, A. J., Oh, C., and Gorshkov, A. V., Exponential entanglement advantage in sensing correlated noise, 2024.
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.
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 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.
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.
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.
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.
Y. Wang, Subhankar, S., Bienias, P., Lacki, M., Tsui, T. - C., Baranov, M. A., Gorshkov, A. V., Zoller, P., Porto, J. V., and Rolston, S. L., Dark state optical lattice with sub-wavelength spatial structure, Phys. Rev. Lett., vol. 120, p. 083601, 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.
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.
X. Wang and Wilde, M. M., α-Logarithmic negativity, 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.
Y. Wang, Gullans, M., Na, X., Whitsitt, S., and Gorshkov, A. V., Universal scattering with general dispersion relations, Phys. Rev. Research, vol. 4, 2022.
D. Wang, Higgott, O., and Brierley, S., Accelerated Variational Quantum Eigensolver, Phys. Rev. Lett. , vol. 122, no. 140504 , 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, 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.
Y. Wang, Tran, M. C., and Taylor, J. M., Quantum simulation of ferromagnetic Heisenberg model, 2017.
C. - H. Wang and Taylor, J. M., A Quantum Model for an Entropic Spring, Physical Review B, vol. 93, no. 21, p. 214102, 2016.
X. Wang and Wilde, M. M., Resource theory of asymmetric distinguishability for quantum channels, 2019.