Oct 6, 2022 · In this work, we propose the first algorithm to achieve the Heisenberg limit for learning an interacting N-qubit local Hamiltonian. After a ...
Learning Many-Body Hamiltonians with Heisenberg-Limited Scaling
link.aps.org › PhysRevLett.130.200403
In this Letter, we propose the first algorithm to achieve the Heisenberg limit for learning an interacting 𝑁 -qubit local Hamiltonian. After a total evolution ...
Learning Many-Body Hamiltonians with Heisenberg-Limited Scaling
link.aps.org › PhysRevLett.130.200403
May 16, 2023 · In this Letter, we propose the first learning algorithm to achieve the Heisenberg limit for learning interacting many- body Hamiltonian. Figure ...
Oct 6, 2022 · Learning a many-body Hamiltonian from its dynamics is a fundamental problem in physics. In this work, we propose the first algorithm to achieve ...
May 19, 2023 · In this Letter, we propose the first algorithm to achieve the Heisenberg limit for learning an interacting 𝑁-qubit local Hamiltonian. After a ...
Feb 21, 2023 · Hsin-Yuan Huang, Yu Tong, Di Fang and Yuan Su.
Learning many-body Hamiltonians with Heisenberg-limited scaling. Publication , Preprint. Huang, H-Y; Tong, Y; Fang, D; Su, Y. October 6, 2022.
Apr 24, 2023 · In this talk, I will introduce the first efficiently scalable algorithm to learn a many-body Hamiltonian with Heisenberg-limited scaling. This ...
Mar 8, 2023 · Yu Tong, Postdoctoral Scholar IQIM, California Institute of Technology, speaks at QHack 2023.
Sep 11, 2024 · We develop a protocol for learning a class of interacting bosonic Hamiltonians from dynamics with Heisenberg-limited scaling.