A rigorous and robust quantum speed-up in supervised machine learning

5 October 2020

Papers citing "A rigorous and robust quantum speed-up in supervised machine learning"

22 / 72 papers shown

Title
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing Chao-Han Huck Yang Jun Qi Samuel Yen-Chi Chen Yu Tsao Pin-Yu Chen 14 51 0 17 Feb 2022
Parametric t-Stochastic Neighbor Embedding With Quantum Neural Network Yoshiaki Kawase K. Mitarai Keisuke Fujii 26 5 0 09 Feb 2022
An Empirical Review of Optimization Techniques for Quantum Variational Circuits Owen Lockwood 21 16 0 03 Feb 2022
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze Han Zheng Zimu Li Junyu Liu Sergii Strelchuk Risi Kondor 50 54 0 14 Dec 2021
Equivariant Quantum Graph Circuits Péter Mernyei K. Meichanetzidis .Ismail .Ilkan Ceylan 36 8 0 10 Dec 2021
Importance of Kernel Bandwidth in Quantum Machine Learning Ruslan Shaydulin Stefan M. Wild 30 37 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
Representation Learning via Quantum Neural Tangent Kernels Junyu Liu F. Tacchino Jennifer R. Glick Liang Jiang Antonio Mezzacapo 16 60 0 08 Nov 2021
Quantum tangent kernel Norihito Shirai K. Kubo K. Mitarai Keisuke Fujii 25 25 0 04 Nov 2021
Subtleties in the trainability of quantum machine learning models Supanut Thanasilp Samson Wang Nhat A. Nghiem Patrick J. Coles M. Cerezo 32 61 0 27 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
Application of quantum computing to a linear non-Gaussian acyclic model for novel medical knowledge discovery H. Kawaguchi MedIm 24 6 0 09 Oct 2021
Quantum Topological Data Analysis with Linear Depth and Exponential Speedup Shashanka Ubaru I. Akhalwaya M. Squillante K. Clarkson L. Horesh 20 26 0 05 Aug 2021
Quantum machine learning of large datasets using randomized measurements Tobias Haug C. Self Myungshik S. Kim 26 50 0 02 Aug 2021
The Inductive Bias of Quantum Kernels Jonas M. Kubler Simon Buchholz Bernhard Schölkopf 12 118 0 07 Jun 2021
Quantum federated learning through blind quantum computing Weikang Li Sirui Lu D. Deng FedML 13 82 0 15 Mar 2021
Parametrized quantum policies for reinforcement learning Sofiene Jerbi Casper Gyurik Simon Marshall H. Briegel Vedran Dunjko 40 103 0 09 Mar 2021
Quantum machine learning with adaptive linear optics Ulysse Chabaud D. Markham A. Sohbi 11 21 0 08 Feb 2021
Supervised quantum machine learning models are kernel methods Maria Schuld 17 359 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 11 621 0 03 Nov 2020
Universal Approximation Property of Quantum Machine Learning Models in Quantum-Enhanced Feature Spaces Takahiro Goto Q. Tran Kohei Nakajima 23 64 0 01 Sep 2020
On the Quantum versus Classical Learnability of Discrete Distributions R. Sweke Jean-Pierre Seifert D. Hangleiter Jens Eisert 27 92 0 28 Jul 2020