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

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

19 August 2020

Maria Schuld

Johannes Jakob Meyer

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

18 / 68 papers shown

Title
Quantum Machine Learning for Radio Astronomy Mohammad Kordzanganeh Aydin Utting A. Scaife AI4CE 14 10 0 05 Dec 2021
Importance of Kernel Bandwidth in Quantum Machine Learning Ruslan Shaydulin Stefan M. Wild 30 37 0 09 Nov 2021
Mode connectivity in the loss landscape of parameterized quantum circuits Kathleen E. Hamilton E. Lynn R. Pooser 25 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 8 354 0 09 Nov 2021
Entangled Datasets for Quantum Machine Learning Louis Schatzki A. Arrasmith Patrick J. Coles M. Cerezo 19 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 27 32 0 07 Sep 2021
Recent advances for quantum classifiers Weikang Li D. Deng AAML 33 84 0 30 Aug 2021
Quantum machine learning of large datasets using randomized measurements Tobias Haug C. Self Myungshik S. Kim 28 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 23 26 0 14 Jun 2021
The Inductive Bias of Quantum Kernels Jonas M. Kubler Simon Buchholz Bernhard Schölkopf 19 118 0 07 Jun 2021
Quantum Federated Learning with Quantum Data Mahdi Chehimi Walid Saad FedML 22 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 22 93 0 05 May 2021
Optimal training of variational quantum algorithms without barren plateaus Tobias Haug M. S. Kim 40 35 0 29 Apr 2021
Parametrized quantum policies for reinforcement learning Sofiene Jerbi Casper Gyurik Simon Marshall H. Briegel Vedran Dunjko 40 103 0 09 Mar 2021
Supervised quantum machine learning models are kernel methods Maria Schuld 19 359 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 23 621 0 03 Nov 2020
Universal Approximation Property of Quantum Machine Learning Models in Quantum-Enhanced Feature Spaces Takahiro Goto Q. Tran Kohei Nakajima 25 64 0 01 Sep 2020