The effect of data encoding on the expressive power of variational quantum machine learning models

19 August 2020

Maria Schuld

Papers citing "The effect of data encoding on the expressive power of variational quantum machine learning models"

26 / 76 papers shown

Title
High Dimensional Quantum Machine Learning With Small Quantum Computers Simon Marshall Casper Gyurik Vedran Dunjko 24 29 0 25 Mar 2022
Policy Gradients using Variational Quantum Circuits André Sequeira L. Santos Luis Soares Barbosa 39 11 0 20 Mar 2022
Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms Armando Angrisani Mina Doosti E. Kashefi 24 12 0 07 Mar 2022
Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge Nicholas J. Teague AAML 27 1 0 18 Feb 2022
Uncovering Instabilities in Variational-Quantum Deep Q-Networks Maja Franz Lucas Wolf Maniraman Periyasamy Christian Ufrecht Daniel D. Scherer Axel Plinge Christopher Mutschler Wolfgang Mauerer 30 29 0 10 Feb 2022
Efficient Quantum Feature Extraction for CNN-based Learning Tong Dou Guofeng Zhang W. Cui 31 13 0 04 Jan 2022
Equivariant Quantum Graph Circuits Péter Mernyei K. Meichanetzidis .Ismail .Ilkan Ceylan 42 8 0 10 Dec 2021
Quantum Machine Learning for Radio Astronomy Mohammad Kordzanganeh Aydin Utting A. Scaife AI4CE 22 10 0 05 Dec 2021
Importance of Kernel Bandwidth in Quantum Machine Learning Ruslan Shaydulin Stefan M. Wild 32 37 0 09 Nov 2021
Mode connectivity in the loss landscape of parameterized quantum circuits Kathleen E. Hamilton E. Lynn R. Pooser 27 3 0 09 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 10 355 0 09 Nov 2021
Entangled Datasets for Quantum Machine Learning Louis Schatzki A. Arrasmith Patrick J. Coles M. Cerezo 33 58 0 08 Sep 2021
Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper) M. Alam Satwik Kundu R. Topaloglu Swaroop Ghosh VLM 35 32 0 07 Sep 2021
Recent advances for quantum classifiers Weikang Li D. Deng AAML 39 84 0 30 Aug 2021
Quantum machine learning of large datasets using randomized measurements Tobias Haug C. Self Myungshik S. Kim 34 50 0 02 Aug 2021
A Leap among Quantum Computing and Quantum Neural Networks: A Survey F. V. Massoli Lucia Vadicamo Giuseppe Amato Fabrizio Falchi 25 32 0 06 Jul 2021
Variational Quanvolutional Neural Networks with enhanced image encoding Denny Mattern Darya Martyniuk Henri Willems F. Bergmann Adrian Paschke 28 26 0 14 Jun 2021
Encoding-dependent generalization bounds for parametrized quantum circuits Matthias C. Caro Elies Gil-Fuster Johannes Jakob Meyer Jens Eisert R. Sweke UQCV 16 101 0 07 Jun 2021
The Inductive Bias of Quantum Kernels Jonas M. Kubler Simon Buchholz Bernhard Schölkopf 19 119 0 07 Jun 2021
Quantum Federated Learning with Quantum Data Mahdi Chehimi Walid Saad FedML 27 70 0 30 May 2021
Training Quantum Embedding Kernels on Near-Term Quantum Computers T. Hubregtsen David Wierichs Elies Gil-Fuster Peter-Jan H. S. Derks Paul K. Faehrmann Johannes Jakob Meyer 28 94 0 05 May 2021
Optimal training of variational quantum algorithms without barren plateaus Tobias Haug M. S. Kim 43 35 0 29 Apr 2021
Parametrized quantum policies for reinforcement learning Sofiene Jerbi Casper Gyurik Simon Marshall H. Briegel Vedran Dunjko 42 103 0 09 Mar 2021
Supervised quantum machine learning models are kernel methods Maria Schuld 34 360 0 26 Jan 2021
Power of data in quantum machine learning Hsin-Yuan Huang Michael Broughton Masoud Mohseni Ryan Babbush Sergio Boixo Hartmut Neven Jarrod R. McClean 25 622 0 03 Nov 2020
Universal Approximation Property of Quantum Machine Learning Models in Quantum-Enhanced Feature Spaces Takahiro Goto Quoc Hoan Tran Kohei Nakajima 27 64 0 01 Sep 2020