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

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Articles Citing

Ansatz-Free Hamiltonian Learning with Heisenberg-Limited Scaling

Measurement incompatibility in Bayesian multiparameter quantum estimation

Universal Sample Complexity Bounds in Quantum Learning Theory via Fisher Information Matrix

Heisenberg-Limited Hamiltonian Learning Without Short-Time Control

Bounded-Error Quantum Simulation via Hamiltonian and Lindbladian Learning

Power and limitations of learning quantum dynamics incoherently

Noisy quantum learning theory

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