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S. Chakrabarti, Childs, A. M., Li, T., and Wu, X., Quantum algorithms and lower bounds for convex optimization, Quantum, vol. 4, no. 221, 2020.
A. M. Childs, Kothari, R., and Somma, R. D., Quantum algorithm for systems of linear equations with exponentially improved dependence on precision, SIAM Journal on Computing, vol. 46, no. 6, pp. 1920-1950, 2017.
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.
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.
G. Wang, Quantum Algorithm for Linear Regression, Physical Review A, vol. 96, p. 012335, 2017.
D. An, Childs, A. M., and Lin, L., Quantum algorithm for linear non-unitary dynamics with near-optimal dependence on all parameters, 2023.
D. W. Berry, Childs, A. M., Ostrander, A., and Wang, G., Quantum algorithm for linear differential equations with exponentially improved dependence on precision, Communications in Mathematical Physics, vol. 356, no. 3, pp. 1057-1081, 2017.
S. Chakrabarti, Childs, A. M., Hung, S. - H., Li, T., Wang, C., and Wu, X., Quantum algorithm for estimating volumes of convex bodies, ACM Transactions on Quantum Computing, vol. 4, 2023.
A. M. Childs and van Dam, W., Quantum algorithm for a generalized hidden shift problem, 2005.
S. Kimmel, Quantum Adversary (Upper) Bound, Chicago Journal of Theoretical Computer Science, vol. 19, no. 1, pp. 1 - 14, 2013.
M. Jarret, Lackey, B., Liu, A., and Wan, K., Quantum adiabatic optimization without heuristics, 2018.
L. Li, Chang, L., Cleaveland, R., Zhu, M., and Wu, X., The Quantum Abstract Machine, 2024.
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.
X. Wang, Wilde, M. M., and Su, Y., Quantifying the magic of quantum channels, New Journal of Physics, vol. 21, no. 103002, 2019.
J. Chen, Johnston, N., Li, C. - K., and Plosker, S., Quantifying the coherence of pure quantum states, Physical Review A, vol. 94, no. 4, p. 042313, 2016.
E. Tiesinga and Johnson, P. R., Quadrature interferometry for nonequilibrium ultracold bosons in optical lattices , Physical Review A, vol. 87, no. 1, 2013.
M. J. O'Hara and O'Leary, D. P., Quadratic fermionic interactions yield effective Hamiltonians for adiabatic quantum computing , Physical Review A, vol. 79, no. 3, 2009.
D. P. O'Leary and Bullock, S. S., QR Factorizations Using a Restricted Set of Rotations, Electronic Transactions on Numerical Analysis, vol. 21, pp. 20-27, 2005.
S. P. Jordan, Gosset, D., and Love, P. J., QMA-complete problems for stoquastic Hamiltonians and Markov matrices, Physical Review A, vol. 81, no. 3, 2010.
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.
L. Li, Zhu, M., Cleaveland, R., Lee, Y., Chang, L., and Wu, X., Qafny: Quantum Program Verification Through Type-guided Classical Separation Logic, 2023.