Quantum advantage in learning from experiments

1 December 2021

Michael Broughton

Masoud Mohseni

Hartmut Neven

Jarrod R. McClean

Papers citing "Quantum advantage in learning from experiments"

35 / 135 papers shown

Title
Review of Ansatz Designing Techniques for Variational Quantum Algorithms Junhan Qin 93 13 0 07 Dec 2022
Numerical evidence against advantage with quantum fidelity kernels on classical data L. Slattery Ruslan Shaydulin Shouvanik Chakrabarti Marco Pistoia Sami Khairy Stefan M. Wild 63 18 0 29 Nov 2022
Intelligent Computing: The Latest Advances, Challenges and Future Shiqiang Zhu Ting Yu Tao Xu Hongyang Chen Schahram Dustdar ... Tariq S. Durrani Huaimin Wang Jiangxing Wu Tongyi Zhang Yunhe Pan AI4CE 96 130 0 21 Nov 2022
Efficient and quantum-adaptive machine learning with fermion neural networks Peikun Zheng Jia-Bao Wang Yi Zhang 63 3 0 10 Nov 2022
eXplainable AI for Quantum Machine Learning Patrick Steinmüller Tobias Schulz Ferdinand Graf Daniel Herr 65 14 0 02 Nov 2022
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning Di Luo Jiayu Shen Rumen Dangovski Marin Soljacic 79 5 0 02 Nov 2022
QNet: A Quantum-native Sequence Encoder Architecture Wei-Yen Day Hao-Sheng Chen Min Sun 103 0 0 31 Oct 2022
Learning to predict arbitrary quantum processes Hsin-Yuan Huang Sitan Chen J. Preskill 110 65 0 26 Oct 2022
Extending Graph Transformers with Quantum Computed Aggregation Slimane Thabet Romain Fouilland L. Henriet GNN 50 3 0 19 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 118 94 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 107 75 0 14 Oct 2022
The Complexity of NISQ Sitan Chen Jordan S. Cotler Hsin-Yuan Huang Jungshian Li 66 75 0 13 Oct 2022
Learning many-body Hamiltonians with Heisenberg-limited scaling Hsin-Yuan Huang Yu Tong Di Fang Yuan Su 91 61 0 06 Oct 2022
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction Yan Qian Yuxuan Du Dacheng Tao 68 3 0 26 Sep 2022
Topological data analysis on noisy quantum computers I. Akhalwaya Shashanka Ubaru K. Clarkson M. Squillante Vishnu Jejjala Yangfan He Kugendran Naidoo Vasileios Kalantzis L. Horesh 99 14 0 19 Sep 2022
Exponential concentration in quantum kernel methods Supanut Thanasilp Samson Wang M. Cerezo Zoë Holmes 92 90 0 23 Aug 2022
Federated Quantum Natural Gradient Descent for Quantum Federated Learning Jun Qi FedML 64 17 0 15 Aug 2022
On establishing learning separations between classical and quantum machine learning with classical data Casper Gyurik Vedran Dunjko 71 15 0 12 Aug 2022
Active Learning on a Programmable Photonic Quantum Processor Chen Ding Xiao-Yue Xu Yun-Fei Niu Shuo Zhang Wansu Bao Heliang Huang 68 6 0 03 Aug 2022
NAPA: Intermediate-level Variational Native-pulse Ansatz for Variational Quantum Algorithms Zhiding Liang Jinglei Cheng Hang Ren Hanrui Wang Fei Hua ... Yongshan Ding Fred Chong Song Han Xuehai Qian Yiyu Shi 115 21 0 02 Aug 2022
Rapid training of quantum recurrent neural networks M. Siemaszko A. Buraczewski Bertrand Le Saux Magdalena Stobiñska 84 9 0 01 Jul 2022
Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning Francesco Di Marcantonio Massimiliano Incudini Davide Tezza Michele Grossi 153 15 0 30 Jun 2022
Data Assimilation in Operator Algebras D. Freeman D. Giannakis Brian Mintz A. Ourmazd J. Slawinska 71 5 0 27 Jun 2022
When Does Adaptivity Help for Quantum State Learning? Sitan Chen Brice Huang Jungshian Li Allen Liu Mark Sellke 48 25 0 10 Jun 2022
Power of Quantum Generative Learning Yuxuan Du Zhuozhuo Tu Bujiao Wu Xiao Yuan Dacheng Tao AI4CE 87 8 0 10 May 2022
Group-Invariant Quantum Machine Learning Martín Larocca F. Sauvage Faris M. Sbahi Guillaume Verdon Patrick J. Coles M. Cerezo AI4CE 85 124 0 04 May 2022
Out-of-distribution generalization for learning quantum dynamics Matthias C. Caro Hsin-Yuan Huang Nic Ezzell Joe Gibbs A. Sornborger L. Cincio Patrick J. Coles Zoë Holmes OODD OOD 110 88 0 21 Apr 2022
Tight Bounds for Quantum State Certification with Incoherent Measurements Sitan Chen Brice Huang Jungshian Li Allen Liu 64 23 0 14 Apr 2022
Covariance matrix preparation for quantum principal component analysis Max Hunter Gordon M. Cerezo L. Cincio Patrick J. Coles 29 10 0 07 Apr 2022
Experimental quantum adversarial learning with programmable superconducting qubits W. Ren Weikang Li Shibo Xu Ke Wang Wenjie Jiang ... Zhen Wang Jacob Biamonte Chao Song D. Deng H. Wang AAML 91 92 0 04 Apr 2022
Optimisation-free Classification and Density Estimation with Quantum Circuits Vladimir Vargas-Calderón Fabio A. González Herbert Vinck-Posada 54 6 0 28 Mar 2022
Quantum neural networks force fields generation Oriel Kiss F. Tacchino S. Vallecorsa I. Tavernelli AI4CE 70 20 0 09 Mar 2022
An Empirical Review of Optimization Techniques for Quantum Variational Circuits Owen Lockwood 107 16 0 03 Feb 2022
Revisiting dequantization and quantum advantage in learning tasks Jordan S. Cotler Hsin-Yuan Huang Jarrod R. McClean 109 32 0 01 Dec 2021
Exponential Error Convergence in Data Classification with Optimized Random Features: Acceleration by Quantum Machine Learning H. Yamasaki Sho Sonoda 83 6 0 16 Jun 2021