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X. Wang, Wilde, M. M., and Su, Y., Quantifying the magic of quantum channels, 2019.
G. Pagano, Bapat, A., Becker, P., Collins, K. S., De, A., Hess, P. W., Kaplan, H. B., Kyprianidis, A., Tan, W. L., Baldwin, C., Brady, L. T., Deshpande, A., Liu, F., Jordan, S., Gorshkov, A. V., and Monroe, C., Quantum Approximate Optimization with a Trapped-Ion Quantum Simulator, 2019.
F. Witteveen, Scholz, V., Swingle, B., and Walter, M., Quantum circuit approximations and entanglement renormalization for the Dirac field in 1+1 dimensions, 2019.
S. Santra, Muralidharan, S., Lichtman, M., Jiang, L., Monroe, C., and Malinovsky, V. S., Quantum repeaters based on two species trapped ions, New J. Phys. , vol. 21, no. 073002, 2019.
H. Gharibyan, Hanada, M., Swingle, B., and Tezuka, M., Quantum Lyapunov Spectrum, JHEP04, vol. 082, 2019.
C. L. Holloway, Simons, M. T., Haddab, A. H., Williams, C. J., and Holloway, M. W., Quantum Physics Meets Music: A "Real-Time" Guitar Recording Using Rydberg-Atoms and Electromagnetically Induced Transparency, 2019.
P. C. S. Costa, Jordan, S. P., and Ostrander, A., Quantum Algorithm for Simulating the Wave Equation, Phys. Rev. A , vol. 99 , no. 012323 , 2019.
S. Arunachalam, Grilo, A. B., and Sundaram, A., Quantum hardness of learning shallow classical circuits, 2019.
A. M. Childs and Liu, J. - P., Quantum spectral methods for differential equations, 2019.
N. - H. Chia, Li, T., Lin, H. - H., and Wang, C., Quantum-inspired classical sublinear-time algorithm for solving low-rank semidefinite programming via sampling approaches, 2019.
S. - H. Hung, Hietala, K., Zhu, S., Ying, M., Hicks, M., and Wu, X., Quantitative Robustness Analysis of Quantum Programs (Extended Version), Proc. ACM Program. Lang., vol. 3, no. POPL, p. Article 31, 2018.
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.
S. P. Jordan and Liu, Y. - K., Quantum Cryptanalysis: Shor, Grover, and Beyond, IEEE Security & Privacy , vol. 16, no. 5, pp. 14-21, 2018.
A. Gilyen, Su, Y., Low, G. Hao, and Wiebe, N., Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics, Proceedings of the 51st ACM Symposium on Theory of Computing (to appear), 2018.
J. Chen, Childs, A. M., and Hung, S. - H., Quantum algorithm for multivariate polynomial interpolation, Proceedings of The Royal Society A, vol. 474, no. 2209, 2018.
J. P. Zwolak, Kalantre, S. S., Wu, X., Ragole, S., and Taylor, J. M., QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments, PLOS ONE, vol. 13, no. 10, p. e0205844, 2018.
N. Yunger Halpern, Swingle, B., and Dressel, J., The quasiprobability behind the out-of-time-ordered correlator, Phys. Rev. , vol. A, no. 97, 2018.
M. Jarret, Lackey, B., Liu, A., and Wan, K., Quantum adiabatic optimization without heuristics, 2018.
S. Chakrabarti, Childs, A. M., Li, T., and Wu, X., Quantum algorithms and lower bounds for convex optimization, 2018.
K. Fang, Wang, X., Tomamichel, M., and Berta, M., Quantum Channel Simulation and the Channel's Smooth Max-Information, 2018.
S. Gharibian, Santha, M., Sikora, J., Sundaram, A., and Yirka, J., Quantum generalizations of the polynomial hierarchy with applications to QMA(2), 2018.
E. Knill, Zhang, Y., and Fu, H., Quantum Probability Estimation for Randomness with Quantum Side Information, 2018.
F. G. S. L. Brandão, Kalev, A., Li, T., Lin, C. Yen- Yu, Svore, K. M., and Wu, X., Quantum SDP Solvers: Large Speed-ups, Optimality, and Applications to Quantum Learning, 2018.
A. Bouland, Fefferman, B., Nirkhe, C., and Vazirani, U., Quantum Supremacy and the Complexity of Random Circuit Sampling, 2018.
G. Alagic, Majenz, C., Russell, A., and Song, F., Quantum-secure message authentication via blind-unforgeability, 2018.