Publications

Publications in reversed chronological order. Also available on Google Scholar.

  1. Supervised Learning with Quantum Hamiltonian Embeddings
    Riccardo Molteni, Minjun Jeon, Paolo Braccia, Abhinav Deshpande, Vedran Dunjko, Liang Jiang, Su-un Lee, Swarnadeep Majumder, Javier Robledo Moreno, Parthasarathy Suryanarayanan, and Kunal Sharma
    2026
  2. Learning sparse quantum states from single-qubit measurements
    Su-un Lee, Liang Jiang, and Kunal Sharma
    2026
  3. Observable Estimation in the Absence of Classical Verification
    Samantha V. Barron, Bradley Mitchell, Vinay Tripathi, Francesco Grieco, Ilan Rosen, Francesca Pietracaprina, Davide Materia, Alireza Seif, Darvin Wanisch, Ramón L. Panadés-Barrueta, Ewout Berg, Jay-U Chung, Andrew Eddins, Sam Ferracin, Guillermo García-Pérez, John Goold, Luke C. G. Govia, Holger Haas, Ian Hincks, Jesse C. Hoke, Zoë Holmes, Su-un Lee, Youngseok Kim, Swarnadeep Majumder, Sabrina Maniscalco, Simone Montangero, Daniel Puzzuoli, Tomaž Prosen, James Raftery, Ricardo Rivera Cardoso, Max Rossmannek, Manuel Rudolph, Brendan Saxberg, Liran Shirizly, Karthik Siva, Joshua Skanes-Norman, Ilaria Siloi, Kevin C Smith, Boris Sokolov, Maika Takita, Yanting Teng, Mao Tian Tan, Joseph Tindall, Zoltán Zimborás, Matteo A. C. Rossi, Minh C. Tran, Sergei N. Filippov, and Abhinav Kandala
    2026
  4. Learning Midcircuit Measurement Backaction from Three Repeated Measurements
    Chia-Tung Chu, Su-un Lee, Han Zheng, Senrui Chen, Bibek Pokharel, Alireza Seif, and Liang Jiang
    Phys. Rev. Lett., Oct 2026
  5. Observation of Improved Accuracy over Classical Sparse Ground-State Solvers using a Quantum Computer
    William Kirby, Bibek Pokharel, Javier Robledo Moreno, Kevin C. Smith, Sergey Bravyi, Abhinav Deshpande, Constantinos Evangelinos, Bryce Fuller, James R. Garrison, Ben Jaderberg, Caleb Johnson, Petar Jurcevic, Su-un Lee, Simon Martiel, Mario Motta, Seetharami Seelam, Oles Shtanko, Kevin J. Sung, Minh Tran, Vinay Tripathi, Kazuhiro Seki, Kazuya Shinjo, Han Xu, Lukas Broers, Tomonori Shirakawa, Seiji Yunoki, Kunal Sharma, and Antonio Mezzacapo
    2026
  6. Efficient Benchmarking of Logical Magic State
    Su-un Lee*, Ming Yuan*, Senrui Chen, Kento Tsubouchi, and Liang Jiang
    Phys. Rev. Lett., Feb 2026
  7. Efficient learning of logical noise from syndrome data
    Han Zheng, Chia-Tung Chu, Senrui Chen, Argyris Giannisis Manes, Su-un Lee, Sisi Zhou, and Liang Jiang
    2026
  8. Classical simulation of noisy random circuits from exponential decay of correlation
    Su-un Lee, Soumik Ghosh, Changhun Oh, Kyungjoo Noh, Bill Fefferman, and Liang Jiang
    2025
  9. Classically Sampling Noisy Quantum Circuits in Quasi-Polynomial Time under Approximate Markovianity
    Yifan F. Zhang*, Su-un Lee*, Liang Jiang, and Sarang Gopalakrishnan
    2025
  10. Universal Spreading of Conditional Mutual Information in Noisy Random Circuits
    Su-un Lee, Changhun Oh, Yat Wong, Senrui Chen, and Liang Jiang
    Phys. Rev. Lett., Nov 2024