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Q. Chen, Du, Y., Zhao, Q., Jiao, Y., Lu, X., and Wu, X., “Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning”, 2022.
J. Chen, Ji, Z., Wei, Z., and Zeng, B., “Correlations in excited states of local Hamiltonians”, Physical Review A, vol. 85, no. 4, 2012.
J. Chen, Ji, Z., Yu, N., and Zeng, B., “Detecting Consistency of Overlapping Quantum Marginals by Separability”, Physical Review A, vol. 93, no. 3, p. 032105, 2016.
J. Chen, Ji, Z., Li, C. - K., Poon, Y. - T., Shen, Y., Yu, N., Zeng, B., and Zhou, D., “Discontinuity of Maximum Entropy Inference and Quantum Phase Transitions”, New Journal of Physics, vol. 17, no. 8, p. 083019, 2015.
J. Chen and Ying, M., “Ancilla-Assisted Discrimination of Quantum Gates”, 2008.
J. Chen, Chen, X., Duan, R., Ji, Z., and Zeng, B., “No-go Theorem for One-way Quantum Computing on Naturally Occurring Two-level Systems ”, Physical Review A, vol. 83, no. 5, 2011.
Y. - A. Chen and Hsin, P. - S., “Exactly Solvable Lattice Hamiltonians and Gravitational Anomalies”, 2021.
J. Chen, Ji, Z., Klyachko, A., Kribs, D. W., and Zeng, B., “Rank Reduction for the Local Consistency Problem”, Journal of Mathematical Physics, vol. 53, no. 2, p. 022202, 2012.
Y. - A. Chen, Childs, A. M., Hafezi, M., Jiang, Z., Kim, H., and Xu, Y., “Efficient Product Formulas for Commutators and Applications to Quantum Simulation”, Physical Review Research, vol. 4, 2022.
G. Cheng and Swingle, B., “Chaos in a quantum rotor model”, 2019.
N. - H. Chia, Chung, K. - M., Liu, Q., and Yamakawa, T., “On the Impossibility of Post-Quantum Black-Box Zero-Knowledge in Constant Rounds”, 2021.
N. - H. Chia, Chung, K. - M., and Yamakawa, T., “A Black-Box Approach to Post-Quantum Zero-Knowledge in Constant Rounds”, 2020.
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.
N. - H. Chia, Chou, C. - N., Zhang, J., and Zhang, R., “Quantum Meets the Minimum Circuit Size Problem”, 2021.
N. - H. Chia, Gilyen, A., Li, T., Lin, H. - H., Tang, E., and Wang, C., “Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning”, to appear in Proceedings of STOC 2020, 2020.
L. Childress, Taylor, J. M., Sorensen, A. S., and Lukin, M. D., “Fault-tolerant Quantum Communication with Minimal Physical Requirements”, Physical Review Letters, vol. 96, no. 7, 2006.
L. I. Childress, Taylor, J. M., Sorensen, A. S., and Lukin, M. D., “Fault-tolerant quantum repeaters with minimal physical resources, and implementations based on single photon emitters”, Physical Review A, vol. 72, no. 5, 2005.
A. M. Childs, Leung, D., Mancinska, L., and Ozols, M., “Interpolatability distinguishes LOCC from separable von Neumann measurements”, Journal of Mathematical Physics, vol. 54, no. 11, p. 112204, 2013.
A. M. Childs and Kothari, R., “Simulating sparse Hamiltonians with star decompositions”, 2010.
A. M. Childs, Ostrander, A., and Su, Y., “Faster quantum simulation by randomization”, Quantum , vol. 3, no. 182, 2019.
A. M. Childs, Reichardt, B. W., Spalek, R., and Zhang, S., “Every NAND formula of size N can be evaluated in time N^1/2+o(1) on a quantum computer ”, 2007.
A. M. Childs, Gosset, D., and Webb, Z., “The Bose-Hubbard model is QMA-complete”, Proceedings of the 41st International Colloquium on Automata, Languages, and Programming (ICALP 2014), vol. 8572, pp. 308-319, 2014.
A. M. Childs, Li, T., Liu, J. - P., Wang, C., and Zhang, R., “Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants”, Advances in Neural Information Processing Systems (NeurIPS 2022), vol. 35, no. 23205, 2022.
A. M. Childs and Wang, D., “Can graph properties have exponential quantum speedup?”, 2020.
A. M. Childs, Harrow, A. W., and Wocjan, P., “Weak Fourier-Schur sampling, the hidden subgroup problem, and the quantum collision problem ”, 2006.