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2022
Y. - A. Chen, Gorshkov, A. V., and Xu, Y., “Error-correcting codes for fermionic quantum simulation”, 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.
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.
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.
H. Fu, Wang, D., and Zhao, Q., “Computational self-testing of multi-qubit states and measurements”, 2022.
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.
J. Bringewatt and Brady, L. T., “Simultaneous Stoquasticity”, Phys. Rev. A, vol. 105, no. 062601, 2022.
2021
J. Riddell, García-Pintos, L. Pedro, and Alhambra, Á. M., “Relaxation of non-integrable systems and correlation functions”, 2021.
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.
N. Rodrigues and Lackey, B., “Fully device-independent quantum key distribution using synchronous correlations”, 2021.