Journal Article
X. Ma, Jackson, T., Zhou, H., Chen, J., Lu, D., Mazurek, M. D., Fisher, K. A. G., Peng, X., Kribs, D., Resch, K. J., Ji, Z., Zeng, B., and Laflamme, R., Pure-state tomography with the expectation value of Pauli operators, Physical Review A, vol. 93, no. 3, p. 032140, 2016.
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.
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.
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.
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.
E. Tiesinga and Johnson, P. R., Quadrature interferometry for nonequilibrium ultracold bosons in optical lattices , Physical Review A, vol. 87, no. 1, 2013.
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.
X. Wang, Wilde, M. M., and Su, Y., Quantifying the magic of quantum channels, New Journal of Physics, vol. 21, no. 103002, 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.
M. Jarret, Lackey, B., Liu, A., and Wan, K., Quantum adiabatic optimization without heuristics, 2018.
S. Kimmel, Quantum Adversary (Upper) Bound, Chicago Journal of Theoretical Computer Science, vol. 19, no. 1, pp. 1 - 14, 2013.
A. M. Childs and van Dam, W., Quantum algorithm for a generalized hidden shift problem, 2005.
S. Chakrabarti, Childs, A. M., Hung, S. - H., Li, T., Wang, C., and Wu, X., Quantum algorithm for estimating volumes of convex bodies, 2019.
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.
G. Wang, Quantum Algorithm for Linear Regression, Physical Review A, vol. 96, p. 012335, 2017.
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.
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.
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.
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 and van Dam, W., Quantum algorithms for algebraic problems, Reviews of Modern Physics, vol. 82, no. 1, pp. 1 - 52, 2010.
G. Wang, Quantum Algorithms for Curve Fitting, 2014.
C. Zhang, Leng, J., and Li, T., Quantum Algorithms for Escaping from Saddle Points, 2020.
S. P. Jordan, Lee, K. S. M., and Preskill, J., Quantum Algorithms for Fermionic Quantum Field Theories, 2014.
S. Jeffery and Kimmel, S., Quantum Algorithms for Graph Connectivity and Formula Evaluation, 2017.
A. M. Childs, Schulman, L. J., and Vazirani, U. V., Quantum algorithms for hidden nonlinear structures, 2007.