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Publications

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Author [ Title(Desc)] Type Year
Filters: Author is Yuan Su  [Clear All Filters]
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A
Y. Nam, Su, Y., and Maslov, D., “Approximate Quantum Fourier Transform with O(nlog(n)) T gates”, 2018.
Y. Nam, Ross, N. J., Su, Y., Childs, A. M., and Maslov, D., “Automated optimization of large quantum circuits with continuous parameters”, npj:Quantum Information, vol. 4, no. 23, 2018.
E
X. Wang, Wilde, M. M., and Su, Y., “Efficiently computable bounds for magic state distillation”, 2018.
Z. Yang, Zhang, T., Lu, J., Su, Y., Zhang, D., and Duan, Y., “Extreme learning machines for regression based on V-matrix method”, Cognitive Neurodynamics, 2017.
F
A. M. Childs, Ostrander, A., and Su, Y., “Faster quantum simulation by randomization”, Quantum , vol. 3, no. 182, 2019.
Y. Su, “Framework for Hamiltonian simulation and beyond: standard-form encoding, qubitization, and quantum signal processing”, Quantum Views , vol. 3, no. 21, 2019.
L
M. Cong Tran, Guo, A. Y., Su, Y., Garrison, J. R., Eldredge, Z., Foss-Feig, M., Childs, A. M., and Gorshkov, A. V., “Locality and digital quantum simulation of power-law interactions”, Phys. Rev. X 9, 031006, vol. 9, no. 031006, 2019.
N
A. M. Childs and Su, Y., “Nearly optimal lattice simulation by product formulas”, Phys. Rev. Lett. , vol. 123, no. 050503, 2019.
Q
X. Wang, Wilde, M. M., and Su, Y., “Quantifying the magic of quantum channels”, New Journal of Physics, vol. 21, no. 103002, 2019.
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 , pp. 193-204, 2018.
T
D. W. Berry, Childs, A. M., Su, Y., Wang, X., and Wiebe, N., “Time-dependent Hamiltonian simulation with L1-norm scaling”, 2019.
Y. Su and Watrous, J., “Time-reversal of rank-one quantum strategy functions”, Quantum , vol. 2, no. 98, 2018.
A. M. Childs, Maslov, D., Nam, Y., Ross, N. J., and Su, Y., “Toward the first quantum simulation with quantum speedup”, Proceedings of the National Academy of Sciences, vol. 115 , pp. 9456-9461, 2018.