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"

43 / 193 papers shown

Title
The complexity of quantum support vector machines Gian Gentinetta Arne Thomsen David Sutter Stefan Woerner 37 40 0 28 Feb 2022
Quantum Deep Reinforcement Learning for Robot Navigation Tasks Hans Hohenfeld D. Heimann Felix Wiebe Frank Kirchner 27 18 0 24 Feb 2022
From Quantum Graph Computing to Quantum Graph Learning: A Survey Yehui Tang Junchi Yan Hancock Edwin GNN 24 9 0 19 Feb 2022
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 28 5 0 09 Feb 2022
An Empirical Review of Optimization Techniques for Quantum Variational Circuits Owen Lockwood 21 16 0 03 Feb 2022
EP-PQM: Efficient Parametric Probabilistic Quantum Memory with Fewer Qubits and Gates Mushahid Khan J. Faye U. C. Mendes A. Miranskyy 14 5 0 10 Jan 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
An Introduction to Quantum Computing for Statisticians and Data Scientists A. Lopatnikova Minh-Ngoc Tran Scott A. Sisson 15 3 0 13 Dec 2021
Quantum kernels for real-world predictions based on electronic health records Z. Krunic Frederik F. Flöther G. Seegan Nathan Earnest-Noble Omar Shehab 10 36 0 12 Dec 2021
Equivariant Quantum Graph Circuits Péter Mernyei K. Meichanetzidis .Ismail .Ilkan Ceylan 39 8 0 10 Dec 2021
Quantum Model-Discovery Niklas Heim Atiyo Ghosh Oleksandr Kyriienko V. Elfving 28 11 0 11 Nov 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 22 60 0 08 Nov 2021
Quantum tangent kernel Norihito Shirai K. Kubo K. Mitarai Keisuke Fujii 33 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 38 61 0 27 Oct 2021
Quantum machine learning beyond kernel methods Sofiene Jerbi Lukas J. Fiderer Hendrik Poulsen Nautrup Jonas M. Kubler H. Briegel Vedran Dunjko 14 160 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 35 17 0 11 Oct 2021
Application of quantum computing to a linear non-Gaussian acyclic model for novel medical knowledge discovery H. Kawaguchi MedIm 29 6 0 09 Oct 2021
Optimizing Quantum Variational Circuits with Deep Reinforcement Learning Owen Lockwood 14 9 0 07 Sep 2021
Quantum support vector regression for disability insurance Boualem Djehiche Bjorn Lofdahl 14 3 0 03 Sep 2021
Recent advances for quantum classifiers Weikang Li D. Deng AAML 39 84 0 30 Aug 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 Continual Learning Overcoming Catastrophic Forgetting Wenjie Jiang Zhide Lu D. Deng 24 10 0 05 Aug 2021
Quantum machine learning of large datasets using randomized measurements Tobias Haug C. Self Myungshik S. Kim 31 50 0 02 Aug 2021
Fock State-enhanced Expressivity of Quantum Machine Learning Models Beng Yee Gan Daniel Leykam D. Angelakis 34 26 0 12 Jul 2021
Exponential Error Convergence in Data Classification with Optimized Random Features: Acceleration by Quantum Machine Learning H. Yamasaki Sho Sonoda 25 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 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
Structural risk minimization for quantum linear classifiers Casper Gyurik Dyon van Vreumingen Vedran Dunjko 13 32 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 25 93 0 05 May 2021
Quantum federated learning through blind quantum computing Weikang Li Sirui Lu D. Deng FedML 19 82 0 15 Mar 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 42 103 0 09 Mar 2021
Generalization in Quantum Machine Learning: a Quantum Information Perspective L. Banchi Jason Pereira S. Pirandola 29 22 0 17 Feb 2021
Quantum machine learning with adaptive linear optics Ulysse Chabaud D. Markham A. Sohbi 13 21 0 08 Feb 2021
Supervised quantum machine learning models are kernel methods Maria Schuld 28 359 0 26 Jan 2021
Foundations for Near-Term Quantum Natural Language Processing B. Coecke G. Felice K. Meichanetzidis Alexis Toumi 26 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 23 622 0 03 Nov 2020
Universal Approximation Property of Quantum Machine Learning Models in Quantum-Enhanced Feature Spaces Takahiro Goto Quoc Hoan Tran Kohei Nakajima 25 64 0 01 Sep 2020
On the Quantum versus Classical Learnability of Discrete Distributions R. Sweke Jean-Pierre Seifert D. Hangleiter Jens Eisert 30 92 0 28 Jul 2020