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"

50 / 193 papers shown

Title
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training M. E. Sahin Benjamin C. B. Symons Pushpak Pati F. Minhas Declan Millar M. Gabrani J. Robertus Stefano Mensa 29 5 0 05 Jan 2024
On fundamental aspects of quantum extreme learning machines Weijie Xiong Giorgio Facelli Mehrad Sahebi Owen Agnel Thiparat Chotibut Supanut Thanasilp Zoë Holmes 24 23 0 23 Dec 2023
The role of data embedding in equivariant quantum convolutional neural networks Sreetama Das Stefano Martina Filippo Caruso 24 5 0 20 Dec 2023
Machine Learning for Anomaly Detection in Particle Physics Vasilis Belis Patrick Odagiu Thea Klæboe Årrestad 30 40 0 20 Dec 2023
A novel feature selection method based on quantum support vector machine Haiyan Wang 16 9 0 29 Nov 2023
A Unified Framework for Trace-induced Quantum Kernels Beng Yee Gan Daniel Leykam Supanut Thanasilp 21 7 0 22 Nov 2023
sQUlearn -- A Python Library for Quantum Machine Learning D. Kreplin Moritz Willmann Jan Schnabel Frederic Rapp Manuel Hagelüken M. Roth GP 30 9 0 15 Nov 2023
Expressibility-induced Concentration of Quantum Neural Tangent Kernels Li-Wei Yu Weikang Li Qi Ye Zhide Lu Zizhao Han Dong-Ling Deng 32 7 0 08 Nov 2023
Approximately Equivariant Quantum Neural Network for $p4m$ Group Symmetries in Images Su Yeon Chang Michele Grossi B. L. Saux S. Vallecorsa 49 13 0 03 Oct 2023
Intractability of Learning the Discrete Logarithm with Gradient-Based Methods Rustem Takhanov Maxat Tezekbayev Artur Pak Arman Bolatov Zhibek Kadyrsizova Z. Assylbekov 16 1 0 02 Oct 2023
On the expressivity of embedding quantum kernels Elies Gil-Fuster Jens Eisert Vedran Dunjko 32 16 0 25 Sep 2023
Provable advantages of kernel-based quantum learners and quantum preprocessing based on Grover's algorithm Till Muser Elias Zapusek Vasilis Belis Florentin Reiter 30 5 0 25 Sep 2023
Coreset selection can accelerate quantum machine learning models with provable generalization Yiming Huang Huiyuan Wang Yuxuan Du Xiao Yuan 43 1 0 19 Sep 2023
All you need is spin: SU(2) equivariant variational quantum circuits based on spin networks R. D. East Guillermo Alonso-Linaje Chae-Yeun Park 16 13 0 13 Sep 2023
Let Quantum Neural Networks Choose Their Own Frequencies Ben Jaderberg Antonio A. Gentile Youssef Achari Berrada Elvira Shishenina V. Elfving 19 16 0 06 Sep 2023
What can we learn from quantum convolutional neural networks? Chukwudubem Umeano Annie E. Paine V. Elfving Oleksandr Kyriienko 23 12 0 31 Aug 2023
QKSAN: A Quantum Kernel Self-Attention Network Ren-Xin Zhao Jinjing Shi Xuelong Li 28 19 0 25 Aug 2023
Several fitness functions and entanglement gates in quantum kernel generation Haiyan Wang 14 3 0 22 Aug 2023
On Neural Quantum Support Vector Machines Lars Simon Manuel Radons 19 0 0 16 Aug 2023
Implementation of The Future of Drug Discovery: QuantumBased Machine Learning Simulation (QMLS) Yifan Zhou Yew Kee Wong Yan Liang Haichuan Qiu Yu Wu Bin He 19 5 0 14 Aug 2023
Neural Networks for Programming Quantum Annealers Samuel Bosch B. Kiani Rui-Yuan Yang A. Lupascu S. Lloyd 22 2 0 13 Aug 2023
Toward Quantum Machine Translation of Syntactically Distinct Languages M. Abbaszade Mariam Zomorodi V. Salari Philip Kurian 6 3 0 31 Jul 2023
Quantivine: A Visualization Approach for Large-scale Quantum Circuit Representation and Analysis Zhen Wen Yihan Liu Siwei Tan Jie Chen Minfeng Zhu Dongming Han Jianwei Yin Mingliang Xu Wei Chen GNN 38 13 0 18 Jul 2023
Higher-order topological kernels via quantum computation Massimiliano Incudini F. Martini Alessandra Di Pierro 14 1 0 14 Jul 2023
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications Yaswitha Gujju A. Matsuo Raymond H. Putra 20 23 0 03 Jul 2023
MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era Leonardo Placidi Ryuichiro Hataya Toshio Mori Koki Aoyama Hayata Morisaki K. Mitarai Keisuke Fujii 21 8 0 29 Jun 2023
Exponential separations between classical and quantum learners Casper Gyurik Vedran Dunjko 16 18 0 28 Jun 2023
Understanding quantum machine learning also requires rethinking generalization Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 32 45 0 23 Jun 2023
Towards quantum enhanced adversarial robustness in machine learning Maxwell T. West S. Tsang J. S. Low C. Hill C. Leckie Lloyd C. L. Hollenberg S. Erfani Muhammad Usman AAML OOD 16 53 0 22 Jun 2023
Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data Koki Chinzei Quoc Hoan Tran Kazunori Maruyama H. Oshima S. Sato 28 10 0 12 Jun 2023
Transition Role of Entangled Data in Quantum Machine Learning Xinbiao Wang Yuxuan Du Zhuozhuo Tu Yong Luo Xiao Yuan Dacheng Tao 40 8 0 06 Jun 2023
Shadows of quantum machine learning Sofiene Jerbi Casper Gyurik Simon Marshall Riccardo Molteni Vedran Dunjko 18 41 0 31 May 2023
A survey on the complexity of learning quantum states Anurag Anshu Srinivasan Arunachalam 34 66 0 31 May 2023
Improved Financial Forecasting via Quantum Machine Learning Sohum Thakkar Skander Kazdaghli Natansh Mathur Iordanis Kerenidis A. J. Ferreira-Martins Samurai Brito QC Ware Corp AIFin 17 20 0 31 May 2023
Classical-to-Quantum Transfer Learning Facilitates Machine Learning with Variational Quantum Circuit Jun Qi Chao-Han Huck Yang Pin-Yu Chen Min-hsiu Hsieh Hector Zenil Jesper Tegner 28 0 0 18 May 2023
Enhancing Quantum Support Vector Machines through Variational Kernel Training Nouhaila Innan Muhammed Al-Zafar Khan Biswaranjan Panda Mohamed Bennai VLM 19 26 0 10 May 2023
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning Nico Meyer Daniel D. Scherer Axel Plinge Christopher Mutschler M. Hartmann 33 10 0 26 Apr 2023
Quantum Gaussian Process Regression for Bayesian Optimization Frederic Rapp Marco Roth GP 11 19 0 25 Apr 2023
QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model Zhepeng Wang Jinyang Li Zhirui Hu Blake Gage Elizabeth Iwasawa Weiwen Jiang 30 9 0 23 Apr 2023
Quantum Kernel Alignment with Stochastic Gradient Descent Gian Gentinetta David Sutter Christa Zoufal Bryce Fuller Stefan Woerner 30 12 0 19 Apr 2023
Variational Denoising for Variational Quantum Eigensolver Quoc-Hoan Tran Shinji Kikuchi H. Oshima 16 3 0 02 Apr 2023
Quantum Deep Hedging El Amine Cherrat S. Raj Iordanis Kerenidis Abhishek Shekhar Ben Wood ... Pierre Minssen Ruslan Shaydulin Yue Sun Romina Yalovetzky Marco Pistoia 26 25 0 29 Mar 2023
Challenges and Opportunities in Quantum Machine Learning M. Cerezo Guillaume Verdon Hsin-Yuan Huang L. Cincio Patrick J. Coles VLM 19 404 0 16 Mar 2023
Towards provably efficient quantum algorithms for large-scale machine-learning models Junyu Liu Minzhao Liu Jin-Peng Liu Ziyu Ye Yunfei Wang Yuri Alexeev Jens Eisert Liang Jiang 61 51 0 06 Mar 2023
Parallel Hybrid Networks: an interplay between quantum and classical neural networks Mohammad Kordzanganeh Daria Kosichkina A. Melnikov GNN 39 22 0 06 Mar 2023
Generative Invertible Quantum Neural Networks Armand Rousselot M. Spannowsky BDL 16 9 0 24 Feb 2023
Hybrid Genetic Optimisation for Quantum Feature Map Design Rowan Pellow-Jarman A. Pillay I. Sinayskiy Francesco Petruccione 6 1 0 06 Feb 2023
Quantum Graph Learning: Frontiers and Outlook Shuo Yu Ciyuan Peng Yingbo Wang Ahsan Shehzad Feng Xia Edwin R. Hancock AI4CE 27 5 0 02 Feb 2023
Towards interpretable quantum machine learning via single-photon quantum walks Fulvio Flamini Marius Krumm Lukas J. Fiderer Thomas Müller H. Briegel 24 6 0 31 Jan 2023
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation H. Yamasaki Sathyawageeswar Subramanian Satoshi Hayakawa Sho Sonoda MLT 30 4 0 27 Jan 2023