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2023
J. Zhou, Criswell, J., and Hicks, M., “Fat Pointers for Temporal Memory Safety of C”, Proceedings of the ACM on Programming Languages, vol. 7, no. 1, pp. 316-347, 2023.
A. Bapat, Childs, A. M., Gorshkov, A. V., and Schoute, E., “Advantages and limitations of quantum routing”, PRX Quantum, vol. 4, no. 010313, 2023.
2022
F. Wilde, Kshetrimayum, A., Roth, I., Hangleiter, D., Sweke, R., and Eisert, J., “Scalably learning quantum many-body Hamiltonians from dynamical data”, 2022.
T. J. Stavenger, Crane, E., Smith, K., Kang, C. T., Girvin, S. M., and Wiebe, N., “Bosonic Qiskit”, 2022.
R. De Viti, Sheff, I., Glaeser, N., Dinis, B., Rodrigues, R., Katz, J., Bhattacharjee, B., Hithnawi, A., Garg, D., and Druschel, P., “CoVault: A Secure Analytics Platform”, 2022.
S. Dontha, Tan, S. Jie Samuel, Smith, S., Choi, S., and Coudron, M., “Approximating Output Probabilities of Shallow Quantum Circuits which are Geometrically-local in any Fixed Dimension”, Leibniz International Proceedings in Informatics (LIPIcs), vol. 232, p. 9:1--9:17, 2022.
F. Voichick, Li, L., Rand, R., and Hicks, M., “Qunity: A Unified Language for Quantum and Classical Computing (Extended Version)”, 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.
Y. Kharkov, Ivanova, A., Mikhantiev, E., and Kotelnikov, A., “Arline Benchmarks: Automated Benchmarking Platform for Quantum Compilers”, 2022.
E. Culf, Vidick, T., and Albert, V. V., “Group coset monogamy games and an application to device-independent continuous-variable QKD”, 2022.
A. He, Lou, D., She, E., Guo, S., Watson, H., Weng, S., Perepechaenko, M., and Kuang, R., “FIPS Compliant Quantum Secure Communication using Quantum Permutation Pad”, 2022.
S. Ghosh, Deshpande, A., Hangleiter, D., Gorshkov, A. V., and Fefferman, B., “Sharp complexity phase transitions generated by entanglement”, 2022.
W. Fang, Ying, M., and Wu, X., “Differentiable Quantum Programming with Unbounded Loops”, 2022.
D. Grier, Pashayan, H., and Schaeffer, L., “Sample-optimal classical shadows for pure states”, 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.
V. V. Albert, “Bosonic coding: introduction and use cases”, 2022.
Y. Alnawakhtha, Mantri, A., Miller, C., and Wang, D., “Lattice-Based Quantum Advantage from Rotated Measurements”, 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.
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.