Andi Gu

PhD student at Harvard University in the Quantum Science and Engineering program. I work at the intersection of quantum information and physics, studying complexity in both the statistical mechanical and computational sense. Currently exploring applications of machine learning to decode quantum error correcting codes.

Publications

  1. A. Gu, J. P. B. Ataides, M. D. Lukin, S. F. Yelin. "Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation." arXiv:2604.08358, 2025. [project page]
  2. V. Menon, J. P. B. Ataides, R. Mehta, A. Gu, D. B. Tan, M. D. Lukin. "Magic Tricycles: Efficient Magic-State Generation with Finite Block-Length Quantum LDPC Codes." Physical Review X, vol. 16, no. 2, 2026. [TQC 2026 talk]
  3. A. Gu, L. Leone, K. Goodenough, S. Khatri. "Constant Overhead Entanglement Distillation via Scrambling." Physical Review Letters, vol. 136, 2026. [TQC 2026 talk]
  4. D. Bluvstein, A. A. Geim, S. H. Li, S. J. Evered, J. P. B. Ataides, G. Baranes, A. Gu, T. Manovitz, M. Xu, M. Kalinowski, S. Majidy, C. Kokail, N. Maskara, E. C. Trapp, L. M. Stewart, S. Hollerith, H. Zhou, M. J. Gullans, S. F. Yelin, M. Greiner, V. Vuletic, M. Cain, M. D. Lukin. "A fault-tolerant neutral-atom architecture for universal quantum computation." Nature, 2025.
  5. A. Gu*, S. Jordan. "Algebraic Geometry Codes and Decoded Quantum Interferometry." arXiv:2510.06603, 2025.
  6. J. P. B. Ataides*, A. Gu*, S. F. Yelin, M. D. Lukin. "Neural Decoders for Universal Quantum Algorithms." arXiv:2509.11370, 2025. [Unitary Fund grant]
  7. A. Gu, S. Oliviero, L. Leone. "Magic-induced computational separation in entanglement theory." Physical Review X Quantum, vol. 6, no. 2, 2025. [QIP 2025 talk] [Unitary Fund grant]
  8. H. Hu*, A. Gu*, S. Majumder*, H. Ren, Y. Zhang, D. Wang, Y. You, Z. Minev, S. Yelin, A. Seif. "Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows." Nature Communications, vol. 16, no. 1, 2025.
  9. A. Gu, S. Oliviero, L. Leone. "Doped stabilizer states in many-body physics and where to find them." Physical Review A, vol. 110, no. 6, 2024.
  10. A. Gu, Y. Quek, S. Yelin, J. Eisert, L. Leone. "Simulating quantum chaos without chaos." arXiv:2410.18196, 2024.
  11. V. Menon*, A. Gu*, R. Movassagh. "Symmetries, correlation functions, and entanglement of general quantum Motzkin spin-chains." arXiv:2408.16070, 2024. [QIP 2025 talk]
  12. A. Gu, H. Hu, D. Luo, T. Patti, N. Rubin, S. Yelin. "Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic." Quantum, vol. 8, 2024.
  13. A. Gu, L. Leone, S. Ghosh, J. Eisert, S. Yelin, Y. Quek. "Pseudomagic Quantum States." Physical Review Letters, vol. 132, no. 21, 2024. [Editors' suggestion] [AQIS 2024 long talk]
  14. A. Gu, L. Cincio, P.J. Coles. "Practical Hamiltonian Learning with Unitary Dynamics and Gibbs States." Nature Communications, vol. 15, no. 1, 2024.
  15. A. Gu, X. Huang, W. Sheu, G. Aldering, A. S. Bolton, K. Boone, A. Dey, A. Filipp, E. Jullo, S. Perlmutter, D. Rubin, E. F. Schlafly, D. J. Schlegel, Y. Shu, S. H. Suyu. "GIGA-Lens: Fast Bayesian Inference for Strong Gravitational Lens Modeling." The Astrophysical Journal, vol. 935, no. 1, 2022.
  16. A. Gu, A. Lowe, P. Dub, P. Coles, A. Arrasmith. "Adaptive Shot Allocation for Fast Convergence in Variational Quantum Algorithms." arXiv:2108.10434, 2021.

* denotes equal contributions

Selected Talks

  • t-doped Entanglement - Phasecraft, London UK (May 2025)
  • Quantum Motzkin spin-chains: exact results and classical simulation - Google Quantum AI Tensor Network Seminar (November 2024)
  • Practical Black Box Hamiltonian Learning - QAISIG QML Seminar, Singapore (April 2024)
  • Entanglement meets Magic - Qiskit Seminar (March 2024)
  • Pseudomagic Quantum States - QIP 2024, Taipei (January 2024)
  • GIGA-Lens: A Fast Differentiable Bayesian Lens Modeling Framework - KIPAC Cosmology Seminar, Stanford (April 2022)