Optimal learning of quantum Hamiltonians from high-temperature Gibbs
states

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Optimal learning of quantum Hamiltonians from high-temperature Gibbs states

10 August 2021

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Papers citing "Optimal learning of quantum Hamiltonians from high-temperature Gibbs states"

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Title
Efficient Hamiltonian, structure and trace distance learning of Gaussian states Marco Fanizza Cambyse Rouzé Daniel Stilck França 85 6 0 05 Nov 2024
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
Quantum Maximum Entropy Inference and Hamiltonian Learning Minbo Gao Zhengfeng Ji Fuchao Wei 36 0 0 16 Jul 2024
Improved algorithms for learning quantum Hamiltonians, via flat polynomials Shyam Narayanan 65 3 0 05 Jul 2024
Simple algorithms to test and learn local Hamiltonians Francisco Escudero Gutiérrez 64 2 0 09 Apr 2024
Learning finitely correlated states: stability of the spectral reconstruction Marco Fanizza Niklas Galke Josep Lumbreras Cambyse Rouzé Andreas Winter 86 7 0 12 Dec 2023
Learning quantum Hamiltonians at any temperature in polynomial time Ainesh Bakshi Allen Liu Ankur Moitra Ewin Tang 79 30 0 03 Oct 2023
Exponential separations between classical and quantum learners Casper Gyurik Vedran Dunjko 63 21 0 28 Jun 2023
A survey on the complexity of learning quantum states Anurag Anshu Srinivasan Arunachalam 85 74 0 31 May 2023
Sample-efficient Model-based Reinforcement Learning for Quantum Control Irtaza Khalid C. Weidner E. Jonckheere Sophie G. Shermer F. Langbein 38 10 0 19 Apr 2023
Learning Energy-Based Representations of Quantum Many-Body States Abhijith Jayakumar Marc Vuffray A. Lokhov AI4CE 51 3 0 08 Apr 2023
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
Dimension reduction and redundancy removal through successive Schmidt decompositions Ammar Daskin Rishabh Gupta S. Kais 56 3 0 09 Feb 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 84 61 0 06 Oct 2022
Scalably learning quantum many-body Hamiltonians from dynamical data Frederik Wilde A. Kshetrimayum I. Roth D. Hangleiter R. Sweke Jens Eisert AI4CE 60 30 0 28 Sep 2022
On establishing learning separations between classical and quantum machine learning with classical data Casper Gyurik Vedran Dunjko 71 15 0 12 Aug 2022
Practical Black Box Hamiltonian Learning Andi Gu L. Cincio Patrick J. Coles 56 26 0 30 Jun 2022