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Thesis. (2024). Generating Quantum Circuits with Finetuned Pretrained Large Language Models. [Link]


Naixu Guo, Zhan Yu, Matthew Choi, Aman Agrawal, Kouhei Nakaji, Alán Aspuru-Guzik, Patrick Rebentrost. (2024). Quantum linear algebra is all you need for Transformer architectures. arXiv:2402.16714. [Link]


Ruiyu Wang, & Matthew Choi. (2023). Large Language Models on Lexical Semantic Change Detection: An Evaluation. arXiv:2312.06002. [Link]


Zi-Jian Zhang, Kouhei Nakaji, Matthew Choi, & Alán Aspuru-Guzik. (2023). A composite measurement scheme for efficient quantum observable estimation. arXiv:2305.02439. [Link]


Choi, M., Flam-Shepherd, D., Kyaw, T., & Aspuru-Guzik, A. (2022). Learning quantum dynamics with latent neural ordinary differential equations. Phys. Rev. A, 105, 042403. [Link]