Provably efficient machine learning for quantum many-body problems

23 June 2021

Papers citing "Provably efficient machine learning for quantum many-body problems"

24 / 24 papers shown

Title
Efficient Hamiltonian, structure and trace distance learning of Gaussian states Marco Fanizza Cambyse Rouzé Daniel Stilck França 37 4 0 05 Nov 2024
Quantum State Generation with Structure-Preserving Diffusion Model Yuchen Zhu Tianrong Chen Evangelos A. Theodorou Xie Chen Molei Tao DiffM 37 6 0 09 Apr 2024
Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows Hong-Ye Hu Andi Gu Swarnadeep Majumder Hang Ren Yipei Zhang Derek S. Wang Yi-Zhuang You Zlatko K. Minev S. Yelin Alireza Seif 29 24 0 27 Feb 2024
Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks Borja Aizpurua Pablo Bermejo Josu Etxezarreta Martinez Roman Orus 30 5 0 06 Nov 2023
Learning Quantum Processes with Quantum Statistical Queries Chirag Wadhwa Mina Doosti 43 3 0 03 Oct 2023
On the expressivity of embedding quantum kernels Elies Gil-Fuster Jens Eisert Vedran Dunjko 27 16 0 25 Sep 2023
ShadowNet for Data-Centric Quantum System Learning Yuxuan Du Yibo Yang Tongliang Liu Zhouchen Lin Bernard Ghanem Dacheng Tao 34 6 0 22 Aug 2023
Universal adversarial perturbations for multiple classification tasks with quantum classifiers Yun-Zhong Qiu AAML 22 1 0 21 Jun 2023
Machine learning reveals features of spinon Fermi surface Kevin Zhang Shih-Wen Feng Y. Lensky N. Trivedi Eun-Ah Kim 14 6 0 05 Jun 2023
A survey on the complexity of learning quantum states Anurag Anshu Srinivasan Arunachalam 34 66 0 31 May 2023
Quantum contextual bandits and recommender systems for quantum data Shrigyan Brahmachari Josep Lumbreras Marco Tomamichel 32 3 0 31 Jan 2023
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix Matthias C. Caro 25 41 0 08 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 19 19 0 05 Dec 2022
Neural network quantum state with proximal optimization: a ground-state searching scheme based on variational Monte Carlo Feng Chen Ming Xue 16 0 0 29 Oct 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 31 84 0 18 Oct 2022
Theory for Equivariant Quantum Neural Networks Quynh T. Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo 27 88 0 16 Oct 2022
Representation Theory for Geometric Quantum Machine Learning Michael Ragone Paolo Braccia Quynh T. Nguyen Louis Schatzki Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo AI4CE 26 73 0 14 Oct 2022
Group-Invariant Quantum Machine Learning Martín Larocca F. Sauvage Faris M. Sbahi Guillaume Verdon Patrick J. Coles M. Cerezo AI4CE 16 117 0 04 May 2022
Flexible learning of quantum states with generative query neural networks Yan Zhu Yadong Wu Ge Bai Dongsheng Wang Yuexuan Wang G. Chiribella 13 35 0 14 Feb 2022
Exponential separations between learning with and without quantum memory Sitan Chen Jordan S. Cotler Hsin-Yuan Huang J. Li 34 109 0 10 Nov 2021
Generalization in quantum machine learning from few training data Matthias C. Caro Hsin-Yuan Huang M. Cerezo Kunal Sharma A. Sornborger L. Cincio Patrick J. Coles 8 354 0 09 Nov 2021
Entangled Datasets for Quantum Machine Learning Louis Schatzki A. Arrasmith Patrick J. Coles M. Cerezo 16 58 0 08 Sep 2021
Quantum machine learning of large datasets using randomized measurements Tobias Haug C. Self Myungshik S. Kim 26 50 0 02 Aug 2021
Classical Shadows With Noise D. E. Koh Sabee Grewal 24 91 0 23 Nov 2020