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Journal Article
L. Pedro García-Pintos, Brady, L. T., Bringewatt, J., and Liu, Y. - K., “Lower Bounds on Quantum Annealing Times”, Phys. Rev. Lett., vol. 130, no. 140601, 2023.
M. Van Regemortel, Shtanko, O., García-Pintos, L. Pedro, Deshpande, A., Dehghani, H., Gorshkov, A. V., and Hafezi, M., “Monitoring-induced Entanglement Entropy and Sampling Complexity”, 2022.
K. Shi, Herrman, R., Shaydulin, R., Chakrabarti, S., Pistoia, M., and Larson, J., “Multi-Angle QAOA Does Not Always Need All Its Angles”, 2022.
C. Murthy, Babakhani, A., Iniguez, F., Srednicki, M., and Halpern, N. Yunger, “Non-Abelian eigenstate thermalization hypothesis”, Phys. Rev. Lett., vol. 130, 2023.
D. Gottesman, “Opportunities and Challenges in Fault-Tolerant Quantum Computation”, 2022.
P. C. S. Costa, An, D., Sanders, Y. R., Su, Y., Babbush, R., and Berry, D. W., “Optimal scaling quantum linear systems solver via discrete adiabatic theorem”, PRX Quantum, vol. 3, no. 4, p. 040303, 2022.
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.
D. Wang, Sundaram, A., Kothari, R., Kapoor, A., and Roetteler, M., “Quantum Algorithms for Reinforcement Learning with a Generative Model”, Proceedings of the 38th International Conference on Machine Learning, PMLR, vol. 139, 2021.
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. Singh Arora, Coladangelo, A., Coudron, M., Gheorghiu, A., Singh, U., and Waldner, H., “Quantum Depth in the Random Oracle Model”, 2022.
A. M. Childs, Kothari, R., Kovacs-Deak, M., Sundaram, A., and Wang, D., “Quantum divide and conquer”, 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.
D. Devulapalli, Schoute, E., Bapat, A., Childs, A. M., and Gorshkov, A. V., “Quantum Routing with Teleportation”, 2022.
C. W. Bauer, Davoudi, Z., A. Balantekin, B., Bhattacharya, T., Carena, M., de Jong, W. A., Draper, P., El-Khadra, A., Gemelke, N., Hanada, M., Kharzeev, D., Lamm, H., Li, Y. - Y., Liu, J., Lukin, M., Meurice, Y., Monroe, C., Nachman, B., Pagano, G., Preskill, J., Rinaldi, E., Roggero, A., Santiago, D. I., Savage, M. J., Siddiqi, I., Siopsis, G., Van Zanten, D., Wiebe, N., Yamauchi, Y., Yeter-Aydeniz, K., and Zorzetti, S., “Quantum Simulation for High Energy Physics”, 2022.
M. - C. Hsu, Kuo, E. - J., Yu, W. - H., Cai, J. - F., and Hsieh, M. - H., “Quantum state tomography via non-convex Riemannian gradient descent”, 2022.
F. Voichick, Li, L., Rand, R., and Hicks, M., “Qunity: A Unified Language for Quantum and Classical Computing (Extended Version)”, 2022.
J. Riddell, García-Pintos, L. Pedro, and Alhambra, Á. M., “Relaxation of non-integrable systems and correlation functions”, 2021.
D. Grier, Pashayan, H., and Schaeffer, L., “Sample-optimal classical shadows for pure states”, 2022.
F. Wilde, Kshetrimayum, A., Roth, I., Hangleiter, D., Sweke, R., and Eisert, J., “Scalably learning quantum many-body Hamiltonians from dynamical data”, 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.
S. Ghosh, Deshpande, A., Hangleiter, D., Gorshkov, A. V., and Fefferman, B., “Sharp complexity phase transitions generated by entanglement”, 2022.
J. Bringewatt and Brady, L. T., “Simultaneous Stoquasticity”, Phys. Rev. A, vol. 105, no. 062601, 2022.
D. Carney, Chen, Y., Geraci, A., Müller, H., Panda, C. D., Stamp, P. C. E., and Taylor, J. M., “Snowmass 2021 White Paper: Tabletop experiments for infrared quantum gravity”, 2022.
E. Huang, Pesah, A., Chubb, C. T., Vasmer, M., and Dua, A., “Tailoring three-dimensional topological codes for biased noise”, 2022.