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2022
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.
T. Zolkin, Kharkov, Y., and Nagaitsev, S., “Machine-assisted discovery of integrable symplectic mappings”, 2022.
X. - M. Hu, Xie, Y., Arora, A. Singh, Ai, M. - Z., Bharti, K., Zhang, J., Wu, W., Chen, P. - X., Cui, J. - M., Liu, B. - H., Huang, Y. - F., Li, C. - F., Guo, G. - C., Roland, J., Cabello, A., and Kwek, L. - C., “Self-Testing of a Single Quantum System: Theory and Experiment”, 2022.
A. Seif, Cian, Z. - P., Zhou, S., Chen, S., and Jiang, L., “Shadow Distillation: Quantum Error Mitigation with Classical Shadows for Near-Term Quantum Processors”, 2022.
N. Bao, Cao, C., and Zhu, G., “Deconfinement and Error Thresholds in Holography”, 2022.
A. Zabalo, Gullans, M., Wilson, J. H., Vasseur, R., Ludwig, A. W. W., Gopalakrishnan, S., Huse, D. A., and Pixley, J. H., “Operator Scaling Dimensions and Multifractality at Measurement-Induced Transitions”, Physical Review Letters, vol. 128, 2022.
Q. Zhao, Zhou, Y., Shaw, A. F., Li, T., and Childs, A. M., “Hamiltonian simulation with random inputs”, Phys. Rev. Lett. 129, 270502, vol. 129, no. 270502, 2022.
Q. Zhao, Zhou, Y., Shaw, A. F., Li, T., and Childs, A. M., “Hamiltonian simulation with random inputs”, Phys. Rev. Lett. 129, 270502, vol. 129, no. 270502, 2022.
D. An, Liu, J. - P., Wang, D., and Zhao, Q., “A theory of quantum differential equation solvers: limitations and fast-forwarding”, 2022.
A. M. Childs, Leng, J., Li, T., Liu, J. - P., and Zhang, C., “Quantum simulation of real-space dynamics”, Quantum, vol. 6, p. 860, 2022.
L. Li, Zhu, M., Lee, Y., Chang, L., and Wu, X., “Quantum Natural Proof: A New Perspective of Hybrid Quantum-Classical Program Verification”, 2022.
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.
H. Fu, Wang, D., and Zhao, Q., “Computational self-testing of multi-qubit states and measurements”, 2022.
D. Wu, Zhao, Q., Wang, C., Huang, L., Jiang, Y. - F., Bai, B., Zhou, Y., Gu, X. - M., Liu, F. - M., Mao, Y. - Q., Sun, Q. - C., Chen, M. - C., Zhang, J., Peng, C. - Z., Zhu, X. - B., Zhang, Q., Lu, C. - Y., and Pan, J. - W., “Closing the Locality and Detection Loopholes in Multiparticle Entanglement Self-Testing”, Physical Review Letters, vol. 128, no. 25, p. 250401, 2022.
D. Wu, Zhao, Q., Wang, C., Huang, L., Jiang, Y. - F., Bai, B., Zhou, Y., Gu, X. - M., Liu, F. - M., Mao, Y. - Q., Sun, Q. - C., Chen, M. - C., Zhang, J., Peng, C. - Z., Zhu, X. - B., Zhang, Q., Lu, C. - Y., and Pan, J. - W., “Closing the Locality and Detection Loopholes in Multiparticle Entanglement Self-Testing”, Physical Review Letters, vol. 128, no. 25, p. 250401, 2022.
D. Wu, Zhao, Q., Wang, C., Huang, L., Jiang, Y. - F., Bai, B., Zhou, Y., Gu, X. - M., Liu, F. - M., Mao, Y. - Q., Sun, Q. - C., Chen, M. - C., Zhang, J., Peng, C. - Z., Zhu, X. - B., Zhang, Q., Lu, C. - Y., and Pan, J. - W., “Closing the Locality and Detection Loopholes in Multiparticle Entanglement Self-Testing”, Physical Review Letters, vol. 128, no. 25, p. 250401, 2022.
D. Wu, Zhao, Q., Wang, C., Huang, L., Jiang, Y. - F., Bai, B., Zhou, Y., Gu, X. - M., Liu, F. - M., Mao, Y. - Q., Sun, Q. - C., Chen, M. - C., Zhang, J., Peng, C. - Z., Zhu, X. - B., Zhang, Q., Lu, C. - Y., and Pan, J. - W., “Closing the Locality and Detection Loopholes in Multiparticle Entanglement Self-Testing”, Physical Review Letters, vol. 128, no. 25, p. 250401, 2022.
D. Wu, Zhao, Q., Wang, C., Huang, L., Jiang, Y. - F., Bai, B., Zhou, Y., Gu, X. - M., Liu, F. - M., Mao, Y. - Q., Sun, Q. - C., Chen, M. - C., Zhang, J., Peng, C. - Z., Zhu, X. - B., Zhang, Q., Lu, C. - Y., and Pan, J. - W., “Closing the Locality and Detection Loopholes in Multiparticle Entanglement Self-Testing”, Physical Review Letters, vol. 128, no. 25, p. 250401, 2022.
S. Guo, Koh, S. M., Fritsch, A. R., Spielman, I. B., and Zwolak, J. P., “Combining machine learning with physics: A framework for tracking and sorting multiple dark solitons”, Phys. Rev. Research, vol. 4, p. 023163 , 2022.
A. R. Fritsch, Guo, S., Koh, S. M., Spielman, I. B., and Zwolak, J. P., “Dark Solitons in Bose-Einstein Condensates: A Dataset for Many-body Physics Research”, 2022.
B. J. Weber, Kalantre, S. S., McJunkin, T., Taylor, J. M., and Zwolak, J. P., “Theoretical bounds on data requirements for the ray-based classification”, SN Comput. Sci., vol. 3, no. 57, 2022.
J. Ziegler, McJunkin, T., Joseph, E. S., Kalantre, S. S., Harpt, B., Savage, D. E., Lagally, M. G., Eriksson, M. A., Taylor, J. M., and Zwolak, J. P., “Toward Robust Autotuning of Noisy Quantum dot Devices”, Physical Review Applied, vol. 17, 2022.
J. Ziegler, McJunkin, T., Joseph, E. S., Kalantre, S. S., Harpt, B., Savage, D. E., Lagally, M. G., Eriksson, M. A., Taylor, J. M., and Zwolak, J. P., “Toward Robust Autotuning of Noisy Quantum dot Devices”, Physical Review Applied, vol. 17, 2022.
2021
M. Barbosa, Barthe, G., Fan, X., Grégoire, B., Hung, S. - H., Katz, J., Strub, P. - Y., Wu, X., and Zhou, L., “EasyPQC: Verifying Post-Quantum Cryptography”, ACM CCS 2021, 2021.
N. - H. Chia, Chou, C. - N., Zhang, J., and Zhang, R., “Quantum Meets the Minimum Circuit Size Problem”, 2021.