People: Rodrigo A Bravo
Graduate Student
Publications
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R. A. Bravo. Analog Quantum Machine Learning Models on Near-term Devices. Harvard University, 2024.
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N. Maskara, S. Ostermann, M. Kalinowski, A. McClain, R. A. Bravo, D. Wang, N. Yao, M. Lukin, S. Yelin, J. Shee, A. Krylov, and M. Head-Gordon. Programmable Simulations of Molecules and Materials with Reconfigurable Quantum Pro-cessors. ArXiv 2023.
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N. Maskara, S. Ostermann, M. Kalinowski, A. McClain, R. A. Bravo, D. Wang, J. Shee, and et al.. Programmable Simulations of Molecules and Materials with Reconfigurable Quantum Processors. ArXiv 2023.
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R. A. Bravo, S. Yelin, K. Najafi, J. Lu, K. Hou, and G. Gadnew. Learning quantum symmetries with interactive quantum-classical variational algorithms. ArXiv 2022.
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R. A. Bravo, K. Najafi, X. Gao, and S. Yelin. Quantum reservoir computing using arrays of Rydberg atoms. PRX, 3(030325), August 2022.
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R. A. Bravo, K. Najafi, T. Patti, X. Gao, and S. Yelin. Universal Quantum Perceptrons for Quantum Machine Learning. ArXiv 2022.