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Parameterized quantum circuits as machine learning models

Quantum Science and Technology (QST), 2019

18 June 2019

Papers citing "Parameterized quantum circuits as machine learning models"

31 / 281 papers shown

Title
Chaos and Complexity from Quantum Neural Network: A study with Diffusion Metric in Machine LearningJournal of High Energy Physics (JHEP), 2020 S. Choudhury Ankan Dutta Debisree Ray 181 22 0 16 Nov 2020
Estimating expectation values using approximate quantum states M. Paini A. Kalev Dan Padilha Brendan Ruck 230 31 0 09 Nov 2020
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Chao-Han Huck Yang Jun Qi Samuel Yen-Chi Chen Pin-Yu Chen Sabato Marco Siniscalchi Xiaoli Ma Chin-Hui Lee FedML 332 149 0 26 Oct 2020
Quantum circuit architecture search for variational quantum algorithmsnpj Quantum Information (npjQI), 2020 Yuxuan Du Tao Huang Shan You Min-hsiu Hsieh Dacheng Tao 404 183 0 20 Oct 2020
Experimental Quantum Generative Adversarial Networks for Image Generation Heliang Huang Yuxuan Du Mingming Gong You-Wei Zhao Yulin Wu ... Chao Lu Yu-Ao Chen Dacheng Tao Xiaobo Zhu Jian-Wei Pan GAN 247 231 0 13 Oct 2020
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testingnpj Quantum Information (npjQI), 2020 Maurice Weber Nana Liu Yue Liu Ce Zhang Zhikuan Zhao AAML 284 39 0 21 Sep 2020
Quantum Long Short-Term MemoryIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Samuel Yen-Chi Chen Shinjae Yoo Yao-Lung L. Fang 211 223 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 262 640 0 19 Aug 2020
Reinforcement Learning with Quantum Variational Circuits Owen Lockwood Mei Si 251 153 0 15 Aug 2020
QUBO Formulations for Training Machine Learning Models Prasanna Date Davis Arthur Lauren Pusey-Nazzaro 126 133 0 05 Aug 2020
Quantum Differentially Private Sparse Regression LearningIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020 Yuxuan Du Min-hsiu Hsieh Tongliang Liu Shan You Dacheng Tao 235 36 0 23 Jul 2020
Recurrent Quantum Neural Networks Johannes Bausch 190 190 0 25 Jun 2020
Classification with Quantum Machine Learning: A Survey Z. Abohashima M. Elhoseny E. H. Houssein W. M. Mohamed 152 86 0 22 Jun 2020
Learning to Utilize Correlated Auxiliary Noise: A Possible Quantum Advantage Aida Ahmadzadegan Petar Simidzija Ming Li A. Kempf 50 8 0 08 Jun 2020
Variational Quantum Singular Value DecompositionQuantum (Quantum), 2020 Xin Wang Zhixin Song Youle Wang DRL 358 74 0 03 Jun 2020
Variational quantum Gibbs state preparation with a truncated Taylor series Youle Wang Guangxi Li Xin Wang 161 85 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 242 77 0 08 May 2020
Towards quantum advantage via topological data analysisQuantum (Quantum), 2020 Casper Gyurik Chris Cade Vedran Dunjko 184 46 0 06 May 2020
On the Principles of Differentiable Quantum Programming LanguagesACM-SIGPLAN Symposium on Programming Language Design and Implementation (PLDI), 2020 Shaopeng Zhu S. Hung Shouvanik Chakrabarti Xiaodi Wu 70 8 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 129 3 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 110 13 0 22 Mar 2020
Quantum noise protects quantum classifiers against adversariesPhysical Review Research (PRResearch), 2020 Yuxuan Du Min-hsiu Hsieh Tongliang Liu Dacheng Tao Nana Liu AAML 145 130 0 20 Mar 2020
Robust data encodings for quantum classifiers Ryan Larose Brian Coyle 188 291 0 03 Mar 2020
QDNN: DNN with Quantum Neural Network Layers Chen Zhao Xiao-Shan Gao 102 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 159 109 0 04 Oct 2019
Stochastic gradient descent for hybrid quantum-classical optimizationQuantum (Quantum), 2019 R. Sweke Frederik Wilde Johannes Jakob Meyer Maria Schuld Paul K. Fährmann Barthélémy Meynard-Piganeau Jens Eisert 227 260 0 02 Oct 2019
Quantum-enhanced least-square support vector machine: simplified quantum algorithm and sparse solutionsPhysics Letters (Phys. Lett.), 2019 Jie Lin Dan-Bo Zhang Shuo Zhang Xiang Wang Tan Li Wansu Bao 85 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 108 40 0 23 Apr 2019
Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications Yuxuan Du Min-hsiu Hsieh Dacheng Tao 162 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 413 171 0 03 Apr 2019
A Grover-search Based Quantum Learning Scheme for Classification Yuxuan Du Min-hsiu Hsieh Tongliang Liu Dacheng Tao 201 44 0 17 Sep 2018