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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.
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.
A. Deshpande, Mehta, A., Vincent, T., Quesada, N., Hinsche, M., Ioannou, M., Madsen, L., Lavoie, J., Qi, H., Eisert, J., Hangleiter, D., Fefferman, B., and Dhand, I., “Quantum computational advantage via high-dimensional Gaussian boson sampling”, Science Advances, vol. 8, p. eabi7894, 2022.
C. J. Cao and Lackey, B., “Quantum Lego: Building Quantum Error Correction Codes from Tensor Networks”, PRX Quantum, vol. 3, no. 2, p. 020332, 2022.
2021
M. Pistoia, Ahmad, S. Farhan, Ajagekar, A., Buts, A., Chakrabarti, S., Herman, D., Hu, S., Jena, A., Minssen, P., Niroula, P., Rattew, A., Sun, Y., and Yalovetzky, R., “Quantum Machine Learning for Finance”, 2021.
N. - H. Chia, Chou, C. - N., Zhang, J., and Zhang, R., “Quantum Meets the Minimum Circuit Size Problem”, 2021.
X. Yuan, Sun, J., Liu, J., Zhao, Q., and Zhou, Y., “Quantum Simulation with Hybrid Tensor Networks”, Physical Review Letters, vol. 127, 2021.
A. Bapat, Childs, A. M., Gorshkov, A. V., King, S., Schoute, E., and Shastri, H., “Quantum routing with fast reversals”, Quantum, vol. 5, 2021.
C. Zhang, Leng, J., and Li, T., “Quantum Algorithms for Escaping from Saddle Points”, Quantum, vol. 5, no. 529, 2021.
D. An, Linden, N., Liu, J. - P., Montanaro, A., Shao, C., and Wang, J., “Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance”, Quantum 5, 481 (2021), vol. 5, p. 481, 2021.
E. Guardado-Sanchez, Spar, B. M., Schauss, P., Belyansky, R., Young, J. T., Bienias, P., Gorshkov, A. V., Iadecola, T., and Bakr, W. S., “Quench Dynamics of a Fermi Gas with Strong Long-Range Interactions”, Phys. Rev. X, vol. 11, 2021.
A. M. Childs, Hung, S. - H., and Li, T., “Quantum query complexity with matrix-vector products”, Proceedings of the 48th International Colloquium on Automata, Languages, and Programming (ICALP 2021), Leibniz International Proceedings in Informatics, vol. 198, pp. 55:1-55:19, 2021.
D. Wang, You, X., Li, T., and Childs, A. M., “Quantum exploration algorithms for multi-armed bandits”, Proceedings of the 35th Conference on Artificial Intelligence (AAAI 2021), vol. 35, no. 11, pp. 10102-10110, 2021.
A. M. Childs, Hung, S. - H., and Li, T., “Quantum Query Complexity with Matrix-Vector Products”, 48th International Colloquium on Automata, Languages, and Programming (ICALP 2021), 2021.
A. Deshpande, Mehta, A., Vincent, T., Quesada, N., Hinsche, M., Ioannou, M., Madsen, L., Lavoie, J., Qi, H., Eisert, J., Hangleiter, D., Fefferman, B., and Dhand, I., “Quantum Computational Supremacy via High-Dimensional Gaussian Boson Sampling”, 2021.
S. Singh, C. Alderete, H., Balu, R., Monroe, C., Linke, N. M., and Chandrashekar, C. M., “Quantum circuits for the realization of equivalent forms of one-dimensional discrete-time quantum walks on near-term quantum hardware”, Physical Review A, vol. 104, 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., “Quantum Lattice Sieving”, 2021.
2020
I. Boettcher, Bienias, P., Belyansky, R., Kollár, A. J., and Gorshkov, A. V., “Quantum Simulation of Hyperbolic Space with Circuit Quantum Electrodynamics: From Graphs to Geometry”, Phys. Rev. A, vol. 102, no. 032208, 2020.
A. F. Shaw, Lougovski, P., Stryker, J. R., and Wiebe, N., “Quantum Algorithms for Simulating the Lattice Schwinger Model”, Quantum, vol. 4, no. 306, 2020.
X. Yuan, Sun, J., Liu, J., Zhao, Q., and Zhou, Y., “Quantum simulation with hybrid tensor networks”, 2020.
G. Alagic, Majenz, C., Russell, A., and Song, F., “Quantum-Access-Secure Message Authentication via Blind-Unforgeability”, In: Canteaut A., Ishai Y. (eds) Advances in Cryptology – EUROCRYPT 2020. Lecture Notes in Computer Science, Springer, Cham, vol. 12-17, pp. 788-817 , 2020.