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Q
S. Chakrabarti, Childs, A. M., Li, T., and Wu, X., Quantum algorithms and lower bounds for convex optimization, Quantum, vol. 4, no. 221, 2020.
G. Wang, Quantum Algorithm for Linear Regression, Physical Review A, vol. 96, p. 012335, 2017.
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.
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.
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.
X. Wang, Wilde, M. M., and Su, Y., Quantifying the magic of quantum channels, New Journal of Physics, vol. 21, no. 103002, 2019.
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.
L. Li, Zhu, M., Cleaveland, R., Nicolellis, A., Lee, Y., Chang, L., and Wu, X., Qafny: A Quantum-Program Verifier, 2024.
P
G. Pupillo, Rey, A. Maria, Williams, C. J., and Clark, C. W., Pseudo-fermionization of 1-D bosons in optical lattices, New Journal of Physics, vol. 8, no. 8, pp. 161 - 161, 2006.
E. Onorati, Rouzé, C., França, D. Stilck, and Watson, J. D., Provably Efficient Learning of Phases of Matter via Dissipative Evolutions, 2023.
E. Waks and Monroe, C., Protocol for Hybrid Entanglement Between a Trapped Atom and a Semiconductor Quantum Dot , Physical Review A, vol. 80, no. 6, 2009.
A. M. Childs and Wiebe, N., Product Formulas for Exponentials of Commutators, Journal of Mathematical Physics, vol. 54, no. 6, p. 062202, 2013.
S. Zhu, Hung, S. - H., Chakrabarti, S., and Wu, X., On the Principles of Differentiable Quantum Programming Languages, 2020.
J. Rajakumar, Watson, J. D., and Liu, Y. - K., Polynomial-Time Classical Simulation of Noisy IQP Circuits with Constant Depth, 2024.
X. -song Ma, Dakic, B., Kropatsche, S., Naylor, W., Chan, Y. -hao, Gong, Z. - X., Duan, L. -ming, Zeilinger, A., and Walther, P., Photonic quantum simulation of ground state configurations of Heisenberg square and checkerboard lattice spin systems , 2012.
C. - H. Wang, Gullans, M., Porto, J. V., Phillips, W. D., and Taylor, J. M., Photon thermalization via laser cooling of atoms, Phys. Rev. A 98, 013834, 2018.
P. Niroula, White, C. David, Wang, Q., Johri, S., Zhu, D., Monroe, C., Noel, C., and Gullans, M., Phase transition in magic with random quantum circuits, 2024.
P. Niroula, White, C. David, Wang, Q., Johri, S., Zhu, D., Monroe, C., Noel, C., and Gullans, M., Phase transition in magic with random quantum circuits, 2024.
T. D. Ellison, Chen, Y. - A., Dua, A., Shirley, W., Tantivasadakarn, N., and Williamson, D. J., Pauli topological subsystem codes from Abelian anyon theories, 2022.
T. D. Ellison, Chen, Y. - A., Dua, A., Shirley, W., Tantivasadakarn, N., and Williamson, D. J., Pauli Stabilizer Models of Twisted Quantum Doubles, PRX Quantum, vol. 3, 2022.