Publications

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G. Wang, Efficient quantum algorithms for analyzing large sparse electrical networks, Quantum Information & Computation, vol. 17, no. 11&12, pp. 987-1026, 2017.
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.
X. Wang and Wilde, M. M., α-Logarithmic negativity, 2019.
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.
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.
G. Wang, Quantum Algorithm for Linear Regression, Physical Review A, vol. 96, p. 012335, 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.
Y. Wang, Gullans, M., Browaeys, A., Porto, J. V., Chang, D. E., and Gorshkov, A. V., Single-photon bound states in atomic ensembles, 2018.
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, 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.
X. Wang and Wilde, M. M., Resource theory of asymmetric distinguishability for quantum channels, 2019.
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., A Quantum Model for an Entropic Spring, Physical Review B, vol. 93, no. 21, p. 214102, 2016.
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.
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.
C. - H. Wang and Taylor, J. M., Optomechanical approach to controlling the temperature and chemical potential of light, Phys. Rev. A 97, 033850, 2018.
X. Wang and Wilde, M. M., Exact entanglement cost of quantum states and channels under PPT-preserving operations, 2018.
G. Wang, Quantum Algorithms for Curve Fitting, 2014.
X. Wang, Wilde, M. M., and Su, Y., Efficiently computable bounds for magic state distillation, Phys. Rev. Lett. , vol. 124, no. 090505, 2020.
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.
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.