Parameterized quantum circuits as machine learning models

18 June 2019

Papers citing "Parameterized quantum circuits as machine learning models"

49 / 249 papers shown

Title
Quantum machine learning with differential privacy William Watkins Samuel Yen-Chi Chen Shinjae Yoo 18 47 0 10 Mar 2021
Parametrized quantum policies for reinforcement learning Sofiene Jerbi Casper Gyurik Simon Marshall H. Briegel Vedran Dunjko 40 103 0 09 Mar 2021
QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer Robin Lorenz A. Pearson K. Meichanetzidis Dimitri Kartsaklis B. Coecke 19 109 0 25 Feb 2021
Generalization in Quantum Machine Learning: a Quantum Information Perspective L. Banchi Jason Pereira S. Pirandola 29 22 0 17 Feb 2021
Analyzing the barren plateau phenomenon in training quantum neural networks with the ZX-calculus Chen Zhao Xiao-Shan Gao 6 87 0 03 Feb 2021
Practical distributed quantum information processing with LOCCNet Xuanqiang Zhao Benchi Zhao Zihe Wang Zhixin Song Xin Wang 33 30 0 28 Jan 2021
Supervised quantum machine learning models are kernel methods Maria Schuld 17 359 0 26 Jan 2021
Noisy intermediate-scale quantum (NISQ) algorithms Kishor Bharti Alba Cervera-Lierta T. Kyaw Tobias Haug Sumner Alperin-Lea ... Tim Menke Wai-Keong Mok Sukin Sim L. Kwek Alán Aspuru-Guzik 103 390 0 21 Jan 2021
Hybrid Quantum-Classical Graph Convolutional Network Samuel Yen-Chi Chen T. Wei Chao Zhang Haiwang Yu Shinjae Yoo GNN 8 36 0 15 Jan 2021
Learning quantum data with the quantum Earth Mover's distance B. Kiani Giacomo De Palma M. Marvian Zi-Wen Liu S. Lloyd 18 45 0 08 Jan 2021
Quantum Convolutional Neural Networks for High Energy Physics Data Analysis Samuel Yen-Chi Chen T. Wei Chao Zhang Haiwang Yu Shinjae Yoo 14 102 0 22 Dec 2020
Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis Brian Coyle Mina Doosti E. Kashefi N. Kumar 6 3 0 21 Dec 2020
Quantum reinforcement learning in continuous action space Shaojun Wu Shan Jin Dingding Wen Donghong Han Xiaoting Wang LRM 35 42 0 19 Dec 2020
VSQL: Variational Shadow Quantum Learning for Classification Guangxi Li Zhixin Song Xin Wang 6 44 0 15 Dec 2020
Grammar-aware sentence classification on quantum computers K. Meichanetzidis Alexis Toumi Giovanni de Felice B. Coecke GNN 20 27 0 07 Dec 2020
Foundations for Near-Term Quantum Natural Language Processing B. Coecke G. Felice K. Meichanetzidis Alexis Toumi 10 85 0 07 Dec 2020
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing Y. Kao 22 49 0 30 Nov 2020
Chaos and Complexity from Quantum Neural Network: A study with Diffusion Metric in Machine Learning S. Choudhury Ankan Dutta Debisree Ray 22 21 0 16 Nov 2020
Estimating expectation values using approximate quantum states M. Paini A. Kalev Dan Padilha Brendan Ruck 25 28 0 09 Nov 2020
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition Chao-Han Huck Yang Jun Qi Samuel Yen-Chi Chen Pin-Yu Chen Sabato Marco Siniscalchi Xiaoli Ma Chin-Hui Lee FedML 17 124 0 26 Oct 2020
Quantum circuit architecture search for variational quantum algorithms Yuxuan Du Tao Huang Shan You Min-hsiu Hsieh Dacheng Tao 44 133 0 20 Oct 2020
Experimental Quantum Generative Adversarial Networks for Image Generation Heliang Huang Yuxuan Du M. Gong You-Wei Zhao Yulin Wu ... Chao Lu Yu-Ao Chen Dacheng Tao Xiaobo Zhu Jian-Wei Pan GAN 16 174 0 13 Oct 2020
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing Maurice Weber Nana Liu Bo-wen Li Ce Zhang Zhikuan Zhao AAML 29 28 0 21 Sep 2020
Quantum Long Short-Term Memory Samuel Yen-Chi Chen Shinjae Yoo Yao-Lung L. Fang 9 158 0 03 Sep 2020
The effect of data encoding on the expressive power of variational quantum machine learning models Maria Schuld R. Sweke Johannes Jakob Meyer 12 493 0 19 Aug 2020
Reinforcement Learning with Quantum Variational Circuits Owen Lockwood Mei Si 8 132 0 15 Aug 2020
QUBO Formulations for Training Machine Learning Models Prasanna Date Davis Arthur Lauren Pusey-Nazzaro 6 112 0 05 Aug 2020
Quantum Differentially Private Sparse Regression Learning Yuxuan Du Min-hsiu Hsieh Tongliang Liu Shan You Dacheng Tao 15 29 0 23 Jul 2020
Recurrent Quantum Neural Networks Johannes Bausch 21 151 0 25 Jun 2020
Classification with Quantum Machine Learning: A Survey Z. Abohashima M. Elhoseny E. H. Houssein W. M. Mohamed 11 73 0 22 Jun 2020
Learning to Utilize Correlated Auxiliary Noise: A Possible Quantum Advantage Aida Ahmadzadegan Petar Simidzija Ming Li A. Kempf 6 8 0 08 Jun 2020
Variational Quantum Singular Value Decomposition Xin Wang Zhixin Song Youle Wang DRL 18 64 0 03 Jun 2020
Variational quantum Gibbs state preparation with a truncated Taylor series Youle Wang Guangxi Li Xin Wang 14 66 0 18 May 2020
Quantum Natural Language Processing on Near-Term Quantum Computers K. Meichanetzidis S. Gogioso G. Felice Nicolò Chiappori Alexis Toumi B. Coecke 28 67 0 08 May 2020
Towards quantum advantage via topological data analysis Casper Gyurik Chris Cade Vedran Dunjko 6 43 0 06 May 2020
On the Principles of Differentiable Quantum Programming Languages Shaopeng Zhu S. Hung Shouvanik Chakrabarti Xiaodi Wu 11 7 0 02 Apr 2020
Quantum circuit-like learning: A fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning Naoko Koide-Majima Kei Majima 14 2 0 24 Mar 2020
Evaluation of Parameterized Quantum Circuits: on the relation between classification accuracy, expressibility and entangling capability T. Hubregtsen Josef Pichlmeier Patrick Stecher K. Bertels 11 13 0 22 Mar 2020
Quantum noise protects quantum classifiers against adversaries Yuxuan Du Min-hsiu Hsieh Tongliang Liu Dacheng Tao Nana Liu AAML 16 110 0 20 Mar 2020
Robust data encodings for quantum classifiers Ryan Larose Brian Coyle 11 238 0 03 Mar 2020
QDNN: DNN with Quantum Neural Network Layers Chen Zhao Xiao-Shan Gao 12 20 0 29 Dec 2019
Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm Guillaume Verdon Jacob A. Marks Sasha Nanda Stefan Leichenauer Jack Hidary DRL 12 98 0 04 Oct 2019
Stochastic gradient descent for hybrid quantum-classical optimization R. Sweke Frederik Wilde Johannes Jakob Meyer Maria Schuld Paul K. Fährmann Barthélémy Meynard-Piganeau Jens Eisert 17 236 0 02 Oct 2019
Quantum-enhanced least-square support vector machine: simplified quantum algorithm and sparse solutions Jie Lin Dan-Bo Zhang Shuo Zhang Xiang Wang Tan Li Wansu Bao 6 14 0 05 Aug 2019
Quantum-assisted associative adversarial network: Applying quantum annealing in deep learning M. Wilson T. Vandal Tad Hogg E. Rieffel GAN BDL 11 36 0 23 Apr 2019
Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications Yuxuan Du Min-hsiu Hsieh Dacheng Tao 14 23 0 21 Apr 2019
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine Brian Coyle Daniel Mills V. Danos E. Kashefi 21 155 0 03 Apr 2019
A Grover-search Based Quantum Learning Scheme for Classification Yuxuan Du Min-hsiu Hsieh Tongliang Liu Dacheng Tao 11 38 0 17 Sep 2018
Learning Unitary Operators with Help From u(n) Stephanie L. Hyland Gunnar Rätsch 89 41 0 17 Jul 2016