Publications

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J. Chen, Ji, Z., Kribs, D. W., and Zeng, B., Minimum Entangling Power is Close to Its Maximum, 2012.
J. Chen, Ji, Z., Ruskai, M. Beth, Zeng, B., and Zhou, D. - L., Comment on some results of Erdahl and the convex structure of reduced density matrices, Journal of Mathematical Physics, vol. 53, no. 7, p. 072203, 2012.
J. Chen, Guo, C., Ji, Z., Poon, Y. - T., Yu, N., Zeng, B., and Zhou, J., Joint product numerical range and geometry of reduced density matrices, 2016.
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, 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.
J. Chen, Duan, R., Ji, Z., Ying, M., and Yu, J., Existence of Universal Entangler, Journal of Mathematical Physics, vol. 49, no. 1, p. 012103, 2008.
J. Chen and Winter, A., Non-Additivity of the Entanglement of Purification (Beyond Reasonable Doubt) , 2012.
J. Chen, Ji, Z., Zeng, B., and Zhou, D. L., From Ground States to Local Hamiltonians, Physical Review A, vol. 86, no. 2, 2012.
J. Chen, Cubitt, T. S., Harrow, A. W., and Smith, G., Entanglement can completely defeat quantum noise, Physical Review Letters, vol. 107, no. 25, 2011.
G. Cheng and Swingle, B., Chaos in a quantum rotor model, 2019.
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.
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, 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, Chung, K. - M., and Yamakawa, T., A Black-Box Approach to Post-Quantum Zero-Knowledge in Constant Rounds, 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, Preskill, J., and Renes, J., Quantum information and precision measurement, Journal of Modern Optics, vol. 47, no. 2-3, pp. 155 - 176, 2000.
A. M. Childs, Secure assisted quantum computation, 2001.
A. M. Childs, Kothari, R., Ozols, M., and Roetteler, M., Easy and hard functions for the Boolean hidden shift problem, Proceedings of TQC 2013, vol. 22, pp. 50-79, 2013.
A. M. Childs and Goldstone, J., Spatial search and the Dirac equation, Physical Review A, vol. 70, no. 4, 2004.
A. M. Childs, Liu, J. - P., and Ostrander, A., High-precision quantum algorithms for partial differential equations, Quantum 5, 574, vol. 5, no. 574, 2021.
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.
A. M. Childs, Su, Y., Tran, M. C., Wiebe, N., and Zhu, S., Theory of Trotter Error with Commutator Scaling, Phys. Rev. X, vol. 11, no. 1, p. 49, 2021.
A. M. Childs, Cleve, R., Jordan, S. P., and Yeung, D., Discrete-query quantum algorithm for NAND trees, Theory of Computing, vol. 5, no. 1, pp. 119 - 123, 2009.