Parameterized quantum circuits as machine learning models

18 June 2019

Papers citing "Parameterized quantum circuits as machine learning models"

50 / 249 papers shown

Title
Efficient Quantum Feature Extraction for CNN-based Learning Tong Dou Guofeng Zhang W. Cui 15 13 0 04 Jan 2022
Variational Quantum Soft Actor-Critic Qingfeng Lan 11 20 0 20 Dec 2021
Quantum Approximate Optimization Algorithm applied to the binary perceptron Pietro Torta G. Mbeng Carlo Baldassi R. Zecchina G. Santoro 14 8 0 19 Dec 2021
Probably approximately correct quantum source coding Armando Angrisani Brian Coyle E. Kashefi 34 0 0 13 Dec 2021
A Case For Noisy Shallow Gate-Based Circuits In Quantum Machine Learning Patrick Selig Niall Murphy Ashwin Sundareswaran R D. Redmond Simon Caton 6 3 0 13 Dec 2021
Quantum Architecture Search via Continual Reinforcement Learning Esther Ye Samuel Yen-Chi Chen 8 26 0 10 Dec 2021
Equivariant Quantum Graph Circuits Péter Mernyei K. Meichanetzidis .Ismail .Ilkan Ceylan 36 8 0 10 Dec 2021
Near-Optimal Quantum Algorithms for Multivariate Mean Estimation A. Cornelissen Yassine Hamoudi Sofiene Jerbi 13 28 0 18 Nov 2021
Quantum Model-Discovery Niklas Heim Atiyo Ghosh Oleksandr Kyriienko V. Elfving 28 11 0 11 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
Graph neural network initialisation of quantum approximate optimisation Nishant Jain Brian Coyle E. Kashefi N. Kumar GNN AI4CE 27 48 0 04 Nov 2021
Quantum tangent kernel Norihito Shirai K. Kubo K. Mitarai Keisuke Fujii 25 25 0 04 Nov 2021
Quantum machine learning beyond kernel methods Sofiene Jerbi Lukas J. Fiderer Hendrik Poulsen Nautrup Jonas M. Kubler H. Briegel Vedran Dunjko 11 159 0 25 Oct 2021
Style-based quantum generative adversarial networks for Monte Carlo events Carlos Bravo-Prieto J. Baglio M. Cè A. Francis D. Grabowska Stefano Carrazza GAN 39 40 0 13 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
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 18 11 0 08 Oct 2021
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks Jun Qi Chao-Han Huck Yang Pin-Yu Chen 26 44 0 06 Oct 2021
Exponentially Many Local Minima in Quantum Neural Networks Xuchen You Xiaodi Wu 64 51 0 06 Oct 2021
Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction Cenk Tüysüz C. Rieger Kristiane Novotny B. Demirköz D. Dobos K. Potamianos S. Vallecorsa J. Vlimant Richard Forster 109 52 0 26 Sep 2021
Theory of overparametrization in quantum neural networks Martín Larocca Nathan Ju Diego García-Martín Patrick J. Coles M. Cerezo 32 188 0 23 Sep 2021
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs Zhepeng Wang Zhiding Liang Shangli Zhou Caiwen Ding Yiyu Shi Weiwen Jiang 24 33 0 08 Sep 2021
Optimizing Quantum Variational Circuits with Deep Reinforcement Learning Owen Lockwood 6 9 0 07 Sep 2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing H. Goan Y. Kao 30 80 0 01 Sep 2021
Representation of binary classification trees with binary features by quantum circuits R. Heese P. Bickert A. Niederle 13 19 0 30 Aug 2021
Photonic Quantum Policy Learning in OpenAI Gym D. Nagy Zsolt I. Tabi Péter Hága Zsófia Kallus Z. Zimborás 15 7 0 29 Aug 2021
A comparative study of universal quantum computing models: towards a physical unification Dong-Sheng Wang 14 16 0 17 Aug 2021
Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time-Series Annie E. Paine V. Elfving Oleksandr Kyriienko 27 22 0 06 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
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack Reek Majumder S. Khan Fahim Ahmed Zadid Khan Frank Ngeni G. Comert Judith Mwakalonge Dimitra Michalaka M. Chowdhury AAML 10 13 0 02 Aug 2021
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits Hanrui Wang Yongshan Ding Jiaqi Gu Zirui Li Yujun Lin D. Pan Frederic T. Chong Song Han 14 170 0 22 Jul 2021
Fock State-enhanced Expressivity of Quantum Machine Learning Models Beng Yee Gan Daniel Leykam D. Angelakis 32 26 0 12 Jul 2021
A Leap among Quantum Computing and Quantum Neural Networks: A Survey F. V. Massoli Lucia Vadicamo Giuseppe Amato Fabrizio Falchi 19 32 0 06 Jul 2021
How to make qubits speak B. Coecke G. Felice K. Meichanetzidis Alexis Toumi 11 6 0 02 Jul 2021
Non-parametric Semi-Supervised Learning in Many-body Hilbert Space with Rescaled Logarithmic Fidelity Wei-Ming Li Shi-Ju Ran 13 2 0 01 Jul 2021
Accelerating variational quantum algorithms with multiple quantum processors Yuxuan Du Yan Qian Dacheng Tao 9 8 0 24 Jun 2021
Variational Quanvolutional Neural Networks with enhanced image encoding Denny Mattern Darya Martyniuk Henri Willems F. Bergmann Adrian Paschke 15 26 0 14 Jun 2021
The dilemma of quantum neural networks Yan Qian Xinbiao Wang Yuxuan Du Xingyao Wu Dacheng Tao 8 30 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 8 101 0 07 Jun 2021
Single-component gradient rules for variational quantum algorithms T. Hubregtsen Frederik Wilde Shozab Qasim Jens Eisert 25 18 0 02 Jun 2021
Quantum Federated Learning with Quantum Data Mahdi Chehimi Walid Saad FedML 9 70 0 30 May 2021
Automatic design of quantum feature maps Sergio Altares-López Ángela Ribeiro J. J. García-Ripoll 4 49 0 26 May 2021
Quantum Embedding Search for Quantum Machine Learning N. Nguyen Kwang-Cheng Chen 10 26 0 25 May 2021
Structural risk minimization for quantum linear classifiers Casper Gyurik Dyon van Vreumingen Vedran Dunjko 8 32 0 12 May 2021
Quantum Architecture Search via Deep Reinforcement Learning En-Jui Kuo Yao-Lung L. Fang Samuel Yen-Chi Chen AI4CE 11 83 0 15 Apr 2021
Towards understanding the power of quantum kernels in the NISQ era Xinbiao Wang Yuxuan Du Yong Luo Dacheng Tao 30 68 0 31 Mar 2021
Reinforcement learning for optimization of variational quantum circuit architectures M. Ostaszewski Lea M. Trenkwalder Wojciech Masarczyk Eleanor Scerri Vedran Dunjko 14 135 0 30 Mar 2021
Quantum Self-Supervised Learning Ben Jaderberg L. W. Anderson Weidi Xie Samuel Albanie M. Kiffner D. Jaksch SSL 13 39 0 26 Mar 2021
Federated Quantum Machine Learning Samuel Yen-Chi Chen Shinjae Yoo FedML AI4CE 11 115 0 22 Mar 2021
Diagrammatic Differentiation for Quantum Machine Learning Alexis Toumi Richie Yeung G. Felice 17 20 0 14 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