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Pseudo-dimension of quantum circuits

4 February 2020

Papers citing "Pseudo-dimension of quantum circuits"

25 / 25 papers shown

Title
Stability and Generalization of Quantum Neural Networks Jiaqi Yang Wei Xie Xiaohua Xu 93 1 0 22 Jan 2025
UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference Jing Xiong Jianghan Shen Fanghua Ye Chaofan Tao Zhongwei Wan ... Xun Wu Chuanyang Zheng Zhijiang Guo Lingpeng Kong Ngai Wong 66 5 0 04 Oct 2024
Concept learning of parameterized quantum models from limited measurements Beng Yee Gan Po-Wei Huang Elies Gil-Fuster Patrick Rebentrost 66 1 0 09 Aug 2024
On the relation between trainability and dequantization of variational quantum learning models Elies Gil-Fuster Casper Gyurik Adrián Pérez-Salinas Vedran Dunjko 106 12 0 11 Jun 2024
Unleashing the Expressive Power of Pulse-Based Quantum Neural Networks Han-Xiao Tao Jiaqi Hu Re-Bing Wu 64 3 0 05 Feb 2024
Understanding quantum machine learning also requires rethinking generalization Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 91 50 0 23 Jun 2023
Classical Verification of Quantum Learning Matthias C. Caro M. Hinsche M. Ioannou A. Nietner R. Sweke 52 6 0 08 Jun 2023
A survey on the complexity of learning quantum states Anurag Anshu Srinivasan Arunachalam 82 74 0 31 May 2023
Quantum Deep Hedging El Amine Cherrat S. Raj Iordanis Kerenidis Abhishek Shekhar Ben Wood ... Pierre Minssen Ruslan Shaydulin Yue Sun Romina Yalovetzky Marco Pistoia 78 26 0 29 Mar 2023
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix Matthias C. Caro 73 42 0 08 Dec 2022
A kernel-based quantum random forest for improved classification Maiyuren Srikumar C. Hill Lloyd C. L. Hollenberg 75 13 0 05 Oct 2022
A learning theory for quantum photonic processors and beyond M. Rosati 64 7 0 07 Sep 2022
Exponential concentration in quantum kernel methods Supanut Thanasilp Samson Wang M. Cerezo Zoë Holmes 86 90 0 23 Aug 2022
Dynamical simulation via quantum machine learning with provable generalization Joe Gibbs Zoë Holmes Matthias C. Caro Nic Ezzell Hsin-Yuan Huang L. Cincio A. Sornborger Patrick J. Coles AI4CE 107 43 0 21 Apr 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 106 88 0 21 Apr 2022
$Clifford Circuits can be Properly PAC Learned if and only if $\textsf{RP}=\textsf{NP}$$ Clifford Circuits can be Properly PAC Learned if and only if $\textsf{RP}=\textsf{NP}$ Daniel Liang 65 4 0 13 Apr 2022
High Dimensional Quantum Machine Learning With Small Quantum Computers Simon Marshall Casper Gyurik Vedran Dunjko 57 32 0 25 Mar 2022
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 112 385 0 09 Nov 2021
Image Compression and Classification Using Qubits and Quantum Deep Learning Ali Mohsen Mo Tiwari 29 12 0 08 Oct 2021
Encoding-dependent generalization bounds for parametrized quantum circuits Matthias C. Caro Elies Gil-Fuster Johannes Jakob Meyer Jens Eisert R. Sweke UQCV 68 103 0 07 Jun 2021
Structural risk minimization for quantum linear classifiers Casper Gyurik Dyon van Vreumingen Vedran Dunjko 68 33 0 12 May 2021
A Hybrid Quantum-Classical Hamiltonian Learning Algorithm Youle Wang Guangxi Li Xin Wang 73 6 0 01 Mar 2021
Effects of quantum resources on the statistical complexity of quantum circuits Kaifeng Bu D. E. Koh Lu Li Qingxian Luo Yaobo Zhang 43 13 0 05 Feb 2021
On the statistical complexity of quantum circuits Kaifeng Bu D. E. Koh Lu Li Qingxian Luo Yaobo Zhang 106 43 0 15 Jan 2021
The effect of data encoding on the expressive power of variational quantum machine learning models Maria Schuld R. Sweke Johannes Jakob Meyer 102 524 0 19 Aug 2020