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Commun. Math. Phys. (1)PRX Quantum (1)Phys. Rev. Research (1)Physics (1)

Articles Citing

Ansatz-Free Hamiltonian Learning with Heisenberg-Limited Scaling

Hong-Ye Hu ^1,*,†, Muzhou Ma ^2,*,‡, Weiyuan Gong³, Qi Ye^4,3, Yu Tong ^5,6,7, Steven T. Flammia ^8,9, and Susanne F. Yelin^1,§

¹Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
²Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, California 91125, USA
³School of Engineering and Applied Sciences, Harvard University, Allston, Massachusetts 02134, USA
⁴Center for Quantum Information, IIIS, Tsinghua University, Beijing, China
⁵Department of Mathematics, Duke University, Durham, North Carolina 27708, USA
⁶Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina 27708, USA
⁷Duke Quantum Center, Duke University, Durham, North Carolina 27701, USA
⁸Department of Computer Science, Virginia Tech, Alexandria, Virginia 22314, USA
⁹Phasecraft Inc., Washington, DC, USA

^*Alphabetical ordering and equal contributions.
^†Contact author: hongyehu@g.harvard.edu
^‡Contact author: muzhouma2002@gmail.com
^§Contact author: syelin@g.harvard.edu

Power and limitations of learning quantum dynamics incoherently

Sofiene Jerbi, Joe Gibbs, Manuel S. Rudolph, Matthias C. Caro, Patrick J. Coles, Hsin-Yuan Huang, and Zoë Holmes

Phys. Rev. Research 8 023141 (2026)

Testing and Learning Structured Quantum Hamiltonians

Srinivasan Arunachalam, Arkopal Dutt, and Francisco Escudero Gutiérrez

Commun. Math. Phys. 407 16 (2026)

General, Efficient, and Robust Hamiltonian Engineering

P. Baßler, M. Heinrich, and M. Kliesch

PRX Quantum 6 040346 (2025)

Quantum Systems Modeled Without Prior Assumptions

Matteo Rosati

Physics 18 165 (2025)

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ISSN 2691-3399 (online).

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