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Optimal learning of quantum Hamiltonians from high-temperature Gibbs states

Optimal learning of quantum Hamiltonians from high-temperature Gibbs states

Jeongwan Haah
Robin Kothari
Ewin Tang
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Papers citing "Optimal learning of quantum Hamiltonians from high-temperature Gibbs states"

7 / 7 papers shown
Title
Efficient Hamiltonian, structure and trace distance learning of Gaussian states
Efficient Hamiltonian, structure and trace distance learning of Gaussian states
Marco Fanizza
Cambyse Rouzé
Daniel Stilck França
58
6
0
05 Nov 2024
Sample-efficient learning of quantum many-body systems
Sample-efficient learning of quantum many-body systems
Anurag Anshu
Srinivasan Arunachalam
Tomotaka Kuwahara
Mehdi Soleimanifar
49
119
0
15 Apr 2020
Learning Graphical Models Using Multiplicative Weights
Learning Graphical Models Using Multiplicative Weights
Adam R. Klivans
Raghu Meka
53
113
0
20 Jun 2017
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models
Marc Vuffray
Sidhant Misra
A. Lokhov
Michael Chertkov
39
111
0
24 May 2016
Efficiently learning Ising models on arbitrary graphs
Efficiently learning Ising models on arbitrary graphs
Guy Bresler
68
203
0
22 Nov 2014
Information-theoretic limits of selecting binary graphical models in high dimensions
Information-theoretic limits of selecting binary graphical models in high dimensions
N. Santhanam
Martin J. Wainwright
130
204
0
16 May 2009
Reconstruction of Markov Random Fields from Samples: Some Easy Observations and Algorithms
Reconstruction of Markov Random Fields from Samples: Some Easy Observations and Algorithms
Guy Bresler
Elchanan Mossel
Allan Sly
93
159
0
10 Dec 2007

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