1. Research
  2. Publications

Publications

Export 1260 results:
[ Author(Desc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
W
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.
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.
G. Wang, “Efficient quantum algorithms for analyzing large sparse electrical networks”, Quantum Information & Computation, vol. 17, no. 11&12, pp. 987-1026, 2017.
D. Wang, Higgott, O., and Brierley, S., “Accelerated Variational Quantum Eigensolver”, Phys. Rev. Lett. , vol. 122, no. 140504 , 2019.
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, “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.
X. Wang and Wilde, M. M., “α-Logarithmic negativity”, 2019.
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.
B. Ware, Deshpande, A., Hangleiter, D., Niroula, P., Fefferman, B., Gorshkov, A. V., and Gullans, M., “A sharp phase transition in linear cross-entropy benchmarking”, 2023.
J. D. Watson, Bringewatt, J., Shaw, A. F., Childs, A. M., Gorshkov, A. V., and Davoudi, Z., “Quantum Algorithms for Simulating Nuclear Effective Field Theories”, 2023.
B. J. Weber, Kalantre, S. S., McJunkin, T., Taylor, J. M., and Zwolak, J. P., “Theoretical bounds on data requirements for the ray-based classification”, SN Comput. Sci., vol. 3, no. 57, 2022.
C. David White, Cao, C. J., and Swingle, B., “Conformal field theories are magical”, Physical Review B, vol. 103, no. 7, p. 075145, 2021.
S. Whitsitt, Samajdar, R., and Sachdev, S., “Quantum field theory for the chiral clock transition in one spatial dimension”, Phys. Rev. , vol. B , no. 98, p. 205118 , 2018.
F. Wilde, Kshetrimayum, A., Roth, I., Hangleiter, D., Sweke, R., and Eisert, J., “Scalably learning quantum many-body Hamiltonians from dynamical data”, 2022.
J. Wildeboer, Langlett, C. M., Yang, Z. - C., Gorshkov, A. V., Iadecola, T., and Xu, S., “Quantum Many-Body Scars from Einstein-Podolsky-Rosen States in Bilayer Systems”, 2022.
R. M. Wilson, Mahmud, K. W., Hu, A., Gorshkov, A. V., Hafezi, M., and Foss-Feig, M., “Collective phases of strongly interacting cavity photons”, Physical Review A, vol. 94, no. 3, p. 033801, 2016.
M. Winer, Jian, S. - K., and Swingle, B., “An exponential ramp in the quadratic Sachdev-Ye-Kitaev model”, 2020.
M. Winer, Barney, R., Baldwin, C. L., Galitski, V., and Swingle, B., “Spectral Form Factor of a Quantum Spin Glass”, 2022.
F. Witteveen, Scholz, V., Swingle, B., and Walter, M., “Quantum circuit approximations and entanglement renormalization for the Dirac field in 1+1 dimensions”, 2019.
P. M. Wocjan, Jordan, S. P., Ahmadi, H., and Brennan, J. P., “Efficient quantum processing of ideals in finite rings”, 2009.
J. D. Wong-Campos, Johnson, K. G., Neyenhuis, B., Mizrahi, J., and Monroe, C., “High resolution adaptive imaging of a single atom”, Nature Photonics, no. 10, pp. 606-610, 2016.
J. P. Wrubel, Schwettmann, A., Fahey, D. P., Glassman, Z., Pechkis, H. K., Griffin, P. F., Barnett, R., Tiesinga, E., and Lett, P. D., “A spinor Bose-Einstein condensate phase-sensitive amplifier for SU(1,1) interferometry”, Phys. Rev, vol. A 98, no. 023620, 2018.