Supervised quantum machine learning models are kernel methods

26 January 2021

Maria Schuld

Papers citing "Supervised quantum machine learning models are kernel methods"

36 / 136 papers shown

Title
Quantum Neural Network Classifiers: A Tutorial Weikang Li Zhide Lu D. Deng 21 33 0 06 Jun 2022
Evolution strategies: Application in hybrid quantum-classical neural networks Lucas Friedrich Jonas Maziero 28 9 0 17 May 2022
Design and Implementation of a Quantum Kernel for Natural Language Processing M. Wright 26 3 0 13 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 90 36 0 10 May 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 31 43 0 21 Apr 2022
Compositional optimization of quantum circuits for quantum kernels of support vector machines E. Torabian R. Krems 16 10 0 25 Mar 2022
Policy Gradients using Variational Quantum Circuits André Sequeira L. Santos Luis Soares Barbosa 52 12 0 20 Mar 2022
Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms Armando Angrisani Mina Doosti E. Kashefi 29 12 0 07 Mar 2022
From Quantum Graph Computing to Quantum Graph Learning: A Survey Yehui Tang Junchi Yan Hancock Edwin GNN 47 9 0 19 Feb 2022
Towards AutoQML: A Cloud-Based Automated Circuit Architecture Search Framework Raúl Berganza Gómez Corey O’Meara G. Cortiana C. Mendl Juan Bernabé-Moreno 25 12 0 16 Feb 2022
Generalized quantum similarity learning Santosh Kumar Radha Casey Jao 28 2 0 07 Jan 2022
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze Han Zheng Zimu Li Junyu Liu Sergii Strelchuk Risi Kondor 53 54 0 14 Dec 2021
Quantum Model-Discovery Niklas Heim Atiyo Ghosh Oleksandr Kyriienko V. Elfving 36 11 0 11 Nov 2021
Importance of Kernel Bandwidth in Quantum Machine Learning Ruslan Shaydulin Stefan M. Wild 50 38 0 09 Nov 2021
Quantum machine learning beyond kernel methods Sofiene Jerbi Lukas J. Fiderer Hendrik Poulsen Nautrup Jonas M. Kubler Hans J. Briegel Vedran Dunjko 24 164 0 25 Oct 2021
Application of quantum computing to a linear non-Gaussian acyclic model for novel medical knowledge discovery H. Kawaguchi MedIm 32 6 0 09 Oct 2021
Quantum Machine Learning for Finance Marco Pistoia Syed Farhan Ahmad Akshay Ajagekar A. Buts Shouvanik Chakrabarti ... Pierre Minssen Pradeep Niroula Arthur G. Rattew Yue Sun Romina Yalovetzky AIFin 40 22 0 09 Sep 2021
Quantum machine learning of large datasets using randomized measurements Tobias Haug C. Self Myungshik S. Kim 34 50 0 02 Aug 2021
A quantum algorithm for training wide and deep classical neural networks Alexander Zlokapa Hartmut Neven S. Lloyd 19 14 0 19 Jul 2021
Fock State-enhanced Expressivity of Quantum Machine Learning Models Beng Yee Gan Daniel Leykam D. Angelakis 53 26 0 12 Jul 2021
Non-parametric Semi-Supervised Learning in Many-body Hilbert Space with Rescaled Logarithmic Fidelity Wei-Ming Li Shi-Ju Ran 30 2 0 01 Jul 2021
The dilemma of quantum neural networks Yan Qian Xinbiao Wang Yuxuan Du Xingyao Wu Dacheng Tao 26 31 0 09 Jun 2021
Encoding-dependent generalization bounds for parametrized quantum circuits Matthias C. Caro Elies Gil-Fuster Johannes Jakob Meyer Jens Eisert R. Sweke UQCV 26 100 0 07 Jun 2021
The Inductive Bias of Quantum Kernels Jonas M. Kubler Simon Buchholz Bernhard Schölkopf 24 119 0 07 Jun 2021
Single-component gradient rules for variational quantum algorithms T. Hubregtsen Frederik Wilde Shozab Qasim Jens Eisert 27 18 0 02 Jun 2021
Automatic design of quantum feature maps Sergio Altares-López Ángela Ribeiro J. J. García-Ripoll 19 49 0 26 May 2021
Quantum Embedding Search for Quantum Machine Learning N. Nguyen Kwang-Cheng Chen 12 26 0 25 May 2021
Structural risk minimization for quantum linear classifiers Casper Gyurik Dyon van Vreumingen Vedran Dunjko 21 33 0 12 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 39 96 0 05 May 2021
Optimal training of variational quantum algorithms without barren plateaus Tobias Haug M. S. Kim 45 35 0 29 Apr 2021
Towards understanding the power of quantum kernels in the NISQ era Xinbiao Wang Yuxuan Du Yong Luo Dacheng Tao 57 69 0 31 Mar 2021
QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer Robin Lorenz A. Pearson K. Meichanetzidis Dimitri Kartsaklis B. Coecke 32 110 0 25 Feb 2021
Matching Point Sets with Quantum Circuit Learning Mohammadreza Noormandipour Hanchen Wang 3DPC 21 10 0 12 Feb 2021
Quantum machine learning with adaptive linear optics Ulysse Chabaud D. Markham A. Sohbi 30 21 0 08 Feb 2021
Ansatz-Independent Variational Quantum Classifier Hideyuki Miyahara V. Roychowdhury 19 8 0 02 Feb 2021
Universal Approximation Property of Quantum Machine Learning Models in Quantum-Enhanced Feature Spaces Takahiro Goto Quoc Hoan Tran Kohei Nakajima 27 65 0 01 Sep 2020