Generalization in quantum machine learning from few training data

9 November 2021

Papers citing "Generalization in quantum machine learning from few training data"

43 / 143 papers shown

Title
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix Matthias C. Caro 29 41 0 08 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 22 18 0 29 Nov 2022
Benchmarking simulated and physical quantum processing units using quantum and hybrid algorithms Mohammad Kordzanganeh M. Buchberger Basil Kyriacou Maxim Povolotskii W. Fischer Andrii Kurkin Wilfrid Somogyi Asel Sagingalieva M. Pflitsch A. Melnikov 43 38 0 28 Nov 2022
Benchmarking Adversarially Robust Quantum Machine Learning at Scale Maxwell T. West S. Erfani C. Leckie M. Sevior Lloyd C. L. Hollenberg Muhammad Usman AAML OOD 30 33 0 23 Nov 2022
Reservoir Computing via Quantum Recurrent Neural Networks Samuel Yen-Chi Chen D. Fry Amol Deshmukh V. Rastunkov Charlee Stefanski 31 16 0 04 Nov 2022
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition Chao-Han Huck Yang Bo-wen Li Yu Zhang Nanxin Chen Tara N. Sainath Sabato Marco Siniscalchi Chin-Hui Lee 29 6 0 02 Nov 2022
Learning to predict arbitrary quantum processes Hsin-Yuan Huang Sitan Chen J. Preskill 60 65 0 26 Oct 2022
Quantum deep recurrent reinforcement learning Samuel Yen-Chi Chen 55 18 0 26 Oct 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 44 85 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 45 89 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 33 73 0 14 Oct 2022
The Complexity of NISQ Sitan Chen Jordan S. Cotler Hsin-Yuan Huang Jungshian Li 42 70 0 13 Oct 2022
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction Yan Qian Yuxuan Du Dacheng Tao 46 3 0 26 Sep 2022
Symmetric Pruning in Quantum Neural Networks Xinbiao Wang Junyu Liu Tongliang Liu Yong Luo Yuxuan Du Dacheng Tao 36 24 0 30 Aug 2022
Exponential concentration in quantum kernel methods Supanut Thanasilp Samson Wang M. Cerezo Zoë Holmes 29 76 0 23 Aug 2022
Do Quantum Circuit Born Machines Generalize? Kaitlin Gili Mohamed Hibat-Allah M. Mauri C. Ballance A. Perdomo-Ortiz 33 29 0 27 Jul 2022
Variational Quantum Approximate Support Vector Machine with Inference Transfer Siheon Park D. Park J. Rhee 27 26 0 29 Jun 2022
Recent Advances for Quantum Neural Networks in Generative Learning Jinkai Tian Xiaoyun Sun Yuxuan Du Shanshan Zhao Qing Liu ... Xingyao Wu Min-hsiu Hsieh Tongliang Liu Wen-Bin Yang Dacheng Tao AI4CE 39 82 0 07 Jun 2022
Mitigating barren plateaus of variational quantum eigensolvers Xia Liu Geng-yang Liu Jiaxin Huang Hao-Kai Zhang Xin Wang 41 40 0 26 May 2022
Overfitting in quantum machine learning and entangling dropout Masahiro Kobayashi Kouhei Nakaji N. Yamamoto 21 29 0 23 May 2022
Exploiting symmetry in variational quantum machine learning Johannes Jakob Meyer Marian Mularski Elies Gil-Fuster A. A. Mele F. Arzani Alissa Wilms Jens Eisert AAML 19 137 0 12 May 2022
Equivariant quantum circuits for learning on weighted graphs Andrea Skolik Michele Cattelan S. Yarkoni Thomas Bäck Vedran Dunjko 33 68 0 12 May 2022
Quantum Self-Attention Neural Networks for Text Classification Guangxi Li Xuanqiang Zhao Xin Wang GNN 29 50 0 11 May 2022
Hybrid quantum ResNet for car classification and its hyperparameter optimization Asel Sagingalieva Mohammad Kordzanganeh Andrii Kurkin Artem Melnikov Daniil Kuhmistrov M. Perelshtein A. Melnikov Andrea Skolik David Von Dollen 61 36 0 10 May 2022
Power of Quantum Generative Learning Yuxuan Du Zhuozhuo Tu Bujiao Wu Xiao Yuan Dacheng Tao AI4CE 33 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 29 118 0 04 May 2022
Quantum-classical convolutional neural networks in radiological image classification A. Matic Maureen Monnet J. Lorenz B. Schachtner Thomas Messerer 27 32 0 26 Apr 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 26 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 25 83 0 21 Apr 2022
Analytic theory for the dynamics of wide quantum neural networks Junyu Liu K. Najafi Kunal Sharma F. Tacchino Liang Jiang Antonio Mezzacapo 36 52 0 30 Mar 2022
Optimisation-free Classification and Density Estimation with Quantum Circuits Vladimir Vargas-Calderón Fabio A. González Herbert Vinck-Posada 40 6 0 28 Mar 2022
High Dimensional Quantum Machine Learning With Small Quantum Computers Simon Marshall Casper Gyurik Vedran Dunjko 24 29 0 25 Mar 2022
Optimal quantum dataset for learning a unitary transformation Zhan Yu Xuanqiang Zhao Benchi Zhao Xin Wang 24 8 0 01 Mar 2022
Transfer Learning for Quantum Classifiers: An Information-Theoretic Generalization Analysis Sharu Theresa Jose Osvaldo Simeone 24 3 0 17 Jan 2022
Subtleties in the trainability of quantum machine learning models Supanut Thanasilp Samson Wang Nhat A. Nghiem Patrick J. Coles M. Cerezo 45 61 0 27 Oct 2021
Fock State-enhanced Expressivity of Quantum Machine Learning Models Beng Yee Gan Daniel Leykam D. Angelakis 45 26 0 12 Jul 2021
A semi-agnostic ansatz with variable structure for quantum machine learning M. Bilkis M. Cerezo Guillaume Verdon Patrick J. Coles L. Cincio 35 19 0 11 Mar 2021
Long-time simulations with high fidelity on quantum hardware Joe Gibbs Kaitlin Gili Zoë Holmes Benjamin Commeau A. Arrasmith L. Cincio Patrick J. Coles A. Sornborger 58 53 0 08 Feb 2021
On the statistical complexity of quantum circuits Kaifeng Bu D. E. Koh Lu Li Qingxian Luo Yaobo Zhang 53 43 0 15 Jan 2021
Information-theoretic bounds on quantum advantage in machine learning Hsin-Yuan Huang R. Kueng J. Preskill 74 214 0 07 Jan 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 151 424 0 06 Jan 2021
Quantum circuit architecture search for variational quantum algorithms Yuxuan Du Tao Huang Shan You Min-hsiu Hsieh Dacheng Tao 51 133 0 20 Oct 2020
Noise-Induced Barren Plateaus in Variational Quantum Algorithms Samson Wang Enrico Fontana M. Cerezo Kunal Sharma A. Sone L. Cincio Patrick J. Coles 148 656 0 28 Jul 2020