Scalably learning quantum many-body Hamiltonians from dynamical data

28 September 2022

Papers citing "Scalably learning quantum many-body Hamiltonians from dynamical data"

7 / 7 papers shown

Title
Solving The Quantum Many-Body Hamiltonian Learning Problem with Neural Differential Equations Timothy Heightman Edward Jiang Antonio Acín AI4CE 61 5 0 16 Aug 2024
Learning topological states from randomized measurements using variational tensor network tomography Y. Teng R. Samajdar Katherine Van Kirk Frederik Wilde S. Sachdev Jens Eisert R. Sweke Khadijeh Najafi 97 2 0 31 May 2024
Simple algorithms to test and learn local Hamiltonians Francisco Escudero Gutiérrez 64 2 0 09 Apr 2024
Learning shallow quantum circuits Hsin-Yuan Huang Yunchao Liu Michael Broughton Isaac Kim Anurag Anshu Zeph Landau Jarrod R. McClean 81 31 0 18 Jan 2024
The power and limitations of learning quantum dynamics incoherently Sofiene Jerbi Joe Gibbs Manuel S. Rudolph Matthias C. Caro Patrick J. Coles Hsin-Yuan Huang Zoë Holmes 68 14 0 22 Mar 2023
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix Matthias C. Caro 73 42 0 08 Dec 2022
Learning many-body Hamiltonians with Heisenberg-limited scaling Hsin-Yuan Huang Yu Tong Di Fang Yuan Su 74 61 0 06 Oct 2022