On the Quantum versus Classical Learnability of Discrete Distributions

28 July 2020

Papers citing "On the Quantum versus Classical Learnability of Discrete Distributions"

42 / 42 papers shown

Title
An unconditional distribution learning advantage with shallow quantum circuits N. Pirnay S. Jerbi J. -P. Seifert J. Eisert 73 1 0 23 Nov 2024
Satellite image classification with neural quantum kernels Pablo Rodriguez-Grasa Robert Farzan-Rodriguez Gabriele Novelli Yue Ban Mikel Sanz 26 0 0 30 Sep 2024
Quantum delegated and federated learning via quantum homomorphic encryption Weikang Li Dong-Ling Deng FedML 21 0 0 28 Sep 2024
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation Maja Franz Tobias Winker Sven Groppe Wolfgang Mauerer 18 2 0 13 May 2024
Arbitrary Polynomial Separations in Trainable Quantum Machine Learning Eric R. Anschuetz Xun Gao 40 4 0 13 Feb 2024
On the expressivity of embedding quantum kernels Elies Gil-Fuster Jens Eisert Vedran Dunjko 24 16 0 25 Sep 2023
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications Yaswitha Gujju A. Matsuo Raymond H. Putra 20 23 0 03 Jul 2023
Exponential separations between classical and quantum learners Casper Gyurik Vedran Dunjko 11 18 0 28 Jun 2023
Understanding quantum machine learning also requires rethinking generalization Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 30 45 0 23 Jun 2023
Classical Verification of Quantum Learning Matthias C. Caro M. Hinsche M. Ioannou A. Nietner R. Sweke 22 5 0 08 Jun 2023
Shadows of quantum machine learning Sofiene Jerbi Casper Gyurik Simon Marshall Riccardo Molteni Vedran Dunjko 16 41 0 31 May 2023
Trainability barriers and opportunities in quantum generative modeling Manuel S. Rudolph S. Lerch Supanut Thanasilp Oriel Kiss S. Vallecorsa Michele Grossi Zoë Holmes 51 25 0 04 May 2023
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning Nico Meyer Daniel D. Scherer Axel Plinge Christopher Mutschler M. Hartmann 28 10 0 26 Apr 2023
Towards provably efficient quantum algorithms for large-scale machine-learning models Junyu Liu Minzhao Liu Jin-Peng Liu Ziyu Ye Yunfei Wang Yuri Alexeev Jens Eisert Liang Jiang 61 51 0 06 Mar 2023
Generative Invertible Quantum Neural Networks Armand Rousselot M. Spannowsky BDL 14 9 0 24 Feb 2023
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation H. Yamasaki Sathyawageeswar Subramanian Satoshi Hayakawa Sho Sonoda MLT 30 4 0 27 Jan 2023
Quantum Policy Gradient Algorithm with Optimized Action Decoding Nico Meyer Daniel D. Scherer Axel Plinge Christopher Mutschler M. Hartmann 29 19 0 13 Dec 2022
A super-polynomial quantum-classical separation for density modelling Niklas Pirnay R. Sweke Jens Eisert Jean-Pierre Seifert 16 15 0 26 Oct 2022
A learning theory for quantum photonic processors and beyond M. Rosati 23 7 0 07 Sep 2022
Exponential concentration in quantum kernel methods Supanut Thanasilp Samson Wang M. Cerezo Zoë Holmes 11 76 0 23 Aug 2022
On establishing learning separations between classical and quantum machine learning with classical data Casper Gyurik Vedran Dunjko 18 15 0 12 Aug 2022
A single $T$ -gate makes distribution learning hard M. Hinsche M. Ioannou A. Nietner J. Haferkamp Yihui Quek D. Hangleiter Jean-Pierre Seifert Jens Eisert R. Sweke 17 16 0 07 Jul 2022
Classical surrogates for quantum learning models Franz J. Schreiber Jens Eisert Johannes Jakob Meyer AI4CE 12 48 0 23 Jun 2022
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets Charles Moussa Jan N. van Rijn Thomas Bäck Vedran Dunjko 19 12 0 20 Jun 2022
Power of Quantum Generative Learning Yuxuan Du Zhuozhuo Tu Bujiao Wu Xiao Yuan Dacheng Tao AI4CE 25 8 0 10 May 2022
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines I. Nikoloska Osvaldo Simeone AI4CE 11 3 0 31 Mar 2022
Completely Quantum Neural Networks Steve Abel J. C. Criado M. Spannowsky 19 25 0 23 Feb 2022
Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data Jack Y. Araz M. Spannowsky 28 14 0 21 Feb 2022
Generalization Metrics for Practical Quantum Advantage in Generative Models Kaitlin Gili M. Mauri A. Perdomo-Ortiz 30 7 0 21 Jan 2022
Generalized quantum similarity learning Santosh Kumar Radha Casey Jao 12 2 0 07 Jan 2022
Quantum machine learning beyond kernel methods Sofiene Jerbi Lukas J. Fiderer Hendrik Poulsen Nautrup Jonas M. Kubler H. Briegel Vedran Dunjko 11 159 0 25 Oct 2021
Learnability of the output distributions of local quantum circuits M. Hinsche M. Ioannou A. Nietner J. Haferkamp Yihui Quek D. Hangleiter Jean-Pierre Seifert Jens Eisert R. Sweke 27 17 0 11 Oct 2021
Exponential Error Convergence in Data Classification with Optimized Random Features: Acceleration by Quantum Machine Learning H. Yamasaki Sho Sonoda 15 6 0 16 Jun 2021
Encoding-dependent generalization bounds for parametrized quantum circuits Matthias C. Caro Elies Gil-Fuster Johannes Jakob Meyer Jens Eisert R. Sweke UQCV 8 101 0 07 Jun 2021
Variational inference with a quantum computer Marcello Benedetti Brian Coyle Mattia Fiorentini M. Lubasch Matthias Rosenkranz BDL 22 37 0 11 Mar 2021
Parametrized quantum policies for reinforcement learning Sofiene Jerbi Casper Gyurik Simon Marshall H. Briegel Vedran Dunjko 40 103 0 09 Mar 2021
Enhancing Generative Models via Quantum Correlations Xun Gao Eric R. Anschuetz Sheng-Tao Wang J. I. Cirac M. Lukin 6 75 0 20 Jan 2021
Information-theoretic bounds on quantum advantage in machine learning Hsin-Yuan Huang R. Kueng J. Preskill 63 213 0 07 Jan 2021
Foundations for Near-Term Quantum Natural Language Processing B. Coecke G. Felice K. Meichanetzidis Alexis Toumi 10 85 0 07 Dec 2020
Power of data in quantum machine learning Hsin-Yuan Huang Michael Broughton Masoud Mohseni Ryan Babbush Sergio Boixo Hartmut Neven Jarrod R. McClean 9 621 0 03 Nov 2020
A rigorous and robust quantum speed-up in supervised machine learning Yunchao Liu Srinivasan Arunachalam K. Temme 6 527 0 05 Oct 2020
Quantum versus Classical Generative Modelling in Finance Brian Coyle Maxwell P. Henderson Justin Chan Jin Le N. Kumar M. Paini E. Kashefi 8 59 0 03 Aug 2020