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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"

50 / 282 papers shown

Title
Training quantum machine learning models on cloud without uploading the data Guang Ping He 204 1 0 06 Sep 2024
Quantum Algorithms for Compositional Text Processing Tuomas Laakkonen K. Meichanetzidis Bob Coecke CoGe 253 5 0 12 Aug 2024
Efficient Quantum Gradient and Higher-order Derivative Estimation via Generalized Hadamard Test Dantong Li Dikshant Dulal Mykhailo Ohorodnikov Hanrui Wang Yongshan Ding 74 6 0 10 Aug 2024
Hierarchical Quantum Control Gates for Functional MRI UnderstandingIEEE Workshop on Signal Processing Systems (SiPS), 2024 Xuan-Bac Nguyen Hoang-Quan Nguyen Hugh Churchill Samee U. Khan Khoa Luu 247 6 0 07 Aug 2024
A Scalable Quantum Non-local Neural Network for Image Classification Sparsh Gupta Debanjan Konar Vaneet Aggarwal 223 1 0 26 Jul 2024
Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks Koki Chinzei Shinichiro Yamano Quoc-Hoan Tran Yasuhiro Endo H. Oshima 295 7 0 26 Jun 2024
On the relation between trainability and dequantization of variational quantum learning models Elies Gil-Fuster Casper Gyurik Adrián Pérez-Salinas Vedran Dunjko 343 30 0 11 Jun 2024
Reinforcement learning-based architecture search for quantum machine learning Frederic Rapp D. Kreplin Marco F. Huber M. Roth AI4CE 313 7 0 04 Jun 2024
Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits Hoang-Quan Nguyen Xuan-Bac Nguyen Samuel Yen-Chi Chen Hugh Churchill Nicholas Borys Samee U. Khan Khoa Luu DiffM 466 11 0 02 Jun 2024
Quantum Visual Feature Encoding Revisited Xuan-Bac Nguyen Hoang-Quan Nguyen Hugh Churchill Samee U. Khan Khoa Luu 183 14 0 30 May 2024
QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering Xuan-Bac Nguyen Hoang-Quan Nguyen Samuel Yen-Chi Chen Samee U. Khan Hugh Churchill Khoa Luu 252 18 0 30 May 2024
Training-efficient density quantum machine learning Brian Coyle El Amine Cherrat Nishant Jain Natansh Mathur Snehal Raj Skander Kazdaghli Iordanis Kerenidis 309 9 0 30 May 2024
Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem Xinbiao Wang Yuxuan Du Kecheng Liu Yong Luo Bo Du Dacheng Tao 145 1 0 12 May 2024
Permutation-equivariant quantum convolutional neural networks Sreetama Das Filippo Caruso 215 3 0 28 Apr 2024
Quantum Adjoint Convolutional Layers for Effective Data Representation Ren-Xin Zhao Shi Wang Yaonan Wang 163 2 0 26 Apr 2024
A Modified Depolarization Approach for Efficient Quantum Machine Learning Bikram Khanal Pablo Rivas 268 6 0 10 Apr 2024
Efficient Quantum Circuits for Machine Learning Activation Functions including Constant T-depth ReLU Wei Zi Siyi Wang Hyunji Kim Xiaoming Sun Anupam Chattopadhyay Patrick Rebentrost 161 5 0 09 Apr 2024
Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension Changwon Lee Israel F. Araujo Dongha Kim Junghan Lee Siheon Park Ju-Young Ryu Daniel K. Park 181 3 0 28 Mar 2024
Measuring Quantum Information Leakage Under Detection ThreatIEEE Conference on Decision and Control (CDC), 2024 F. Farokhi Sejeong Kim 176 2 0 18 Mar 2024
Early-stage detection of cognitive impairment by hybrid quantum-classical algorithm using resting-state functional MRI time-series Junggu Choi Tak Hur Daniel K. Park Na-Young Shin Seung-Koo Lee Hakbae Lee Sanghoon Han 173 7 0 16 Mar 2024
Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations Yin Mo Lei Zhang Yuanyi Chen Yingjian Liu Tengxiang Lin Xin Wang 250 9 0 06 Mar 2024
Hybrid Quantum Neural Network Advantage for Radar-Based Drone Detection and Classification in Low Signal-to-Noise Ratio Aiswariya Sweety Malarvanan 178 0 0 04 Mar 2024
Spectral invariance and maximality properties of the frequency spectrum of quantum neural networks Patrick Holzer Ivica Turkalj 223 2 0 22 Feb 2024
QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems Jinjing Shi Zimeng Xiao Heyuan Shi Yu Jiang Xuelong Li AAML 166 3 0 20 Feb 2024
Generating Universal Adversarial Perturbations for Quantum Classifiers Gautham Anil Vishnu Vinod Apurva Narayan AAML 186 8 0 13 Feb 2024
Variational Quantum Circuits Enhanced Generative Adversarial Network Runqiu Shu Xusheng Xu Manhong Yung Wei Cui GAN 133 10 0 02 Feb 2024
Quantum Architecture Search with Unsupervised Representation Learning Yize Sun Zixin Wu Yunpu Ma Volker Tresp 453 10 0 21 Jan 2024
Learning shallow quantum circuits Hsin-Yuan Huang Yunchao Liu Michael Broughton Isaac Kim Anurag Anshu Zeph Landau Jarrod R. McClean 185 53 0 18 Jan 2024
Élivágar: Efficient Quantum Circuit Search for ClassificationInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024 Sashwat Anagolum Narges Alavisamani Poulami Das Moinuddin K. Qureshi Eric Kessler Yunong Shi 177 28 0 17 Jan 2024
Quantum Transfer Learning for Acceptability JudgementsQuantum Machine Intelligence (QMI), 2024 Giuseppe Buonaiuto Raffaele Guarasci Aniello Minutolo G. De Pietro M. Esposito 210 16 0 15 Jan 2024
Predominant Aspects on Security for Quantum Machine Learning: Literature ReviewInternational Conference on Quantum Computing and Engineering (QCE), 2024 Nicola Franco Alona Sakhnenko Leon Stolpmann Daniel Thuerck Fabian Petsch Annika Rüll J. M. Lorenz 169 16 0 15 Jan 2024
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum CircuitsInternational Conference on Quantum Computing and Engineering (QCE), 2023 Tianlong Chen Zhenyu Zhang Hanrui Wang Jiaqi Gu Zi-Chen Li David Z. Pan Frederic T. Chong Song Han Zinan Lin 204 0 0 10 Jan 2024
Federated Quantum Long Short-term Memory (FedQLSTM) Mahdi Chehimi Samuel Yen-Chi Chen Walid Saad Shinjae Yoo FedML 254 30 0 21 Dec 2023
The role of data embedding in equivariant quantum convolutional neural networks Sreetama Das Stefano Martina Filippo Caruso 242 9 0 20 Dec 2023
Machine Learning for Anomaly Detection in Particle Physics Vasilis Belis Patrick Odagiu Thea Klæboe Årrestad 213 67 0 20 Dec 2023
A Survey of Classical And Quantum Sequence ModelsInternational Conference on Communication Systems and Networks (COMSNETS), 2023 I-Chi Chen Harshdeep Singh V. L. Anukruti Brian Quanz Kavitha Yogaraj 172 4 0 15 Dec 2023
Privacy-preserving quantum federated learning via gradient hiding Changhao Li Niraj Kumar Zhixin Song Shouvanik Chakrabarti Marco Pistoia FedML 205 34 0 07 Dec 2023
Clustering by Contour coreset and variational quantum eigensolver Canaan Yung Muhammad Usman 96 2 0 06 Dec 2023
Toward Automated Quantum Variational Machine Learning Omer Subasi 270 3 0 04 Dec 2023
Training robust and generalizable quantum models Julian Berberich Daniel Fink Daniel Pranjić C. Tutschku Christian Holm OOD 320 20 0 20 Nov 2023
Variational Quantum Eigensolver with Constraints (VQEC): Solving Constrained Optimization Problems via VQE Thinh Viet Le V. Kekatos 156 6 0 14 Nov 2023
From Conceptual Spaces to Quantum Concepts: Formalising and Learning Structured Conceptual ModelsQuantum Machine Intelligence (QMI), 2023 Sean Tull R. A. Shaikh Sara Sabrina Zemljič Stephen Clark 184 3 0 06 Nov 2023
Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction José Daniel Viqueira Daniel Faílde M. M. Juane Andrés Gómez David Mera 295 6 0 31 Oct 2023
A general learning scheme for classical and quantum Ising machinesSciPost Physics Core (SPC), 2023 Ludwig Schmid Enrico Zardini D. Pastorello AI4CE 254 1 0 27 Oct 2023
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead Kamila Zaman Alberto Marchisio Muhammad Abdullah Hanif Mohamed Bennai 368 49 0 16 Oct 2023
QonFusion -- Quantum Approaches to Gaussian Random Variables: Applications in Stable Diffusion and Brownian Motion Shlomo Kashani 146 1 0 28 Sep 2023
QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum ClassifiersAAAI Conference on Artificial Intelligence (AAAI), 2022 Daniel Silver Tirthak Patel Devesh Tiwari 156 33 0 26 Sep 2023
On the expressivity of embedding quantum kernels Elies Gil-Fuster Jens Eisert Vedran Dunjko 234 26 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 207 12 0 25 Sep 2023
Expressive variational quantum circuits provide inherent privacy in federated learning Niraj Kumar Jamie Heredge Changhao Li Shaltiel Eloul Shree Hari Sureshbabu Marco Pistoia FedML 340 12 0 22 Sep 2023