An atom-molecule platform for quantum computing. - Elena Kuznetsova; Susanne F. Yelin; Robin Côté (Quantum Inf. Process., 2011)

Learning quantum symmetries with interactive quantum-classical variational algorithms. - Jonathan Z. Lu; Rodrigo A. Bravo; Kaiying Hou; Gebremedhin A. Dagnew; Susanne F. Yelin; Khadijeh Najafi (CoRR, 2022)

Many-body localized hidden Born machine. - Weishun Zhong; Xun Gao; Susanne F. Yelin; Khadijeh Najafi (CoRR, 2022)

Quantum Goemans-Williamson Algorithm with the Hadamard Test and Approximate Amplitude Constraints. - Taylor L. Patti; Jean Kossaifi; Anima Anandkumar; Susanne F. Yelin (Quantum, 2023)

Digital-analog quantum learning on Rydberg atom arrays. - Jonathan Z. Lu; Lucy Jiao; Kristina Wolinski; Milan Kornjaca; Hong-Ye Hu; Sergio Cantu; Fangli Liu; Susanne F. Yelin; Sheng-Tao Wang (CoRR, 2024)

Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows. - Hong-Ye Hu; Andi Gu; Swarnadeep Majumder; Hang Ren; Yipei Zhang; Derek S. Wang; Yi-Zhuang You; Zlatko Minev; Susanne F. Yelin; Alireza Seif (CoRR, 2024)

Derandomized shallow shadows: Efficient Pauli learning with bounded-depth circuits. - Katherine Van Kirk; Christian Kokail; Jonathan Kunjummen; Hong-Ye Hu; Yanting Teng; Madelyn Cain; Jacob Taylor; Susanne F. Yelin; Hannes Pichler; Mikhail D. Lukin (CoRR, 2024)

Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic. - Andi Gu; Hong-Ye Hu; Di Luo; Taylor L. Patti; Nicholas C. Rubin; Susanne F. Yelin (Quantum, 2024)

Ansatz-free Hamiltonian learning with Heisenberg-limited scaling. - Hong-Ye Hu; Muzhou Ma; Weiyuan Gong; Qi Ye; Yu Tong 002; Steven T. Flammia; Susanne F. Yelin (CoRR, 2025)