Absence of Barren Plateaus in Quantum Convolutional Neural Networks

5 November 2020

Papers citing "Absence of Barren Plateaus in Quantum Convolutional Neural Networks"

50 / 91 papers shown

Title
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles Junghoon Justin Park Jiook Cha Samuel Yen-Chi Chen Huan-Hsin Tseng Shinjae Yoo 29 0 0 13 May 2025
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints Peter Röseler Oliver Schaudt Helmut Berg Christian Bauckhage Matthias Koch 34 0 0 09 May 2025
Inductive Graph Representation Learning with Quantum Graph Neural Networks Arthur M. Faria Ignacio F. Graña Savvas Varsamopoulos GNN 62 0 0 31 Mar 2025
Quantitative Evaluation of Quantum/Classical Neural Network Using a Game Solver Metric Suzukaze Kamei Hideaki Kawaguchi Shin Nishio Tatakahiko Satoh GNN 52 0 0 27 Mar 2025
Enhancing Circuit Trainability with Selective Gate Activation Strategy Jeihee Cho Junyong Lee Daniel Justice Shiho Kim 44 0 0 17 Mar 2025
On the similarity of bandwidth-tuned quantum kernels and classical kernels Roberto Flórez Ablan M. Roth Jan Schnabel 60 2 0 07 Mar 2025
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits Kaining Zhang Liu Liu Min-hsiu Hsieh Dacheng Tao 62 60 0 20 Feb 2025
Resource-efficient equivariant quantum convolutional neural networks Koki Chinzei Quoc Hoan Tran Yasuhiro Endo Hirotaka Oshima 34 1 0 02 Oct 2024
Satellite image classification with neural quantum kernels Pablo Rodriguez-Grasa Robert Farzan-Rodriguez Gabriele Novelli Yue Ban Mikel Sanz 31 0 0 30 Sep 2024
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits Yuxuan Du Min-hsiu Hsieh Dacheng Tao 42 2 0 22 Aug 2024
Security Concerns in Quantum Machine Learning as a Service Satwik Kundu Swaroop Ghosh 28 1 0 18 Aug 2024
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey Jack Cunningham Jun Zhuang 36 4 0 25 Jul 2024
Quantum Supervised Learning A. Macaluso 49 3 0 24 Jul 2024
On the relation between trainability and dequantization of variational quantum learning models Elies Gil-Fuster Casper Gyurik Adrián Pérez-Salinas Vedran Dunjko 34 10 0 11 Jun 2024
Multi-Scale Feature Fusion Quantum Depthwise Convolutional Neural Networks for Text Classification Yixiong Chen Weichuan Fang 33 1 0 22 May 2024
Architectures and random properties of symplectic quantum circuits Diego García-Martín Paolo Braccia M. Cerezo 42 6 0 16 May 2024
Permutation-equivariant quantum convolutional neural networks Sreetama Das Filippo Caruso 43 2 0 28 Apr 2024
Layered Uploading for Quantum Convolutional Neural Networks Grégoire Barrué Tony Quertier Orlane Zang 92 0 0 15 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 32 1 0 28 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 32 0 0 16 Mar 2024
Application of Quantum Tensor Networks for Protein Classification Debarshi Kundu Archisman Ghosh Srinivasan Ekambaram Jian Wang Nikolay V. Dokholyan Swaroop Ghosh 30 1 0 11 Mar 2024
QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems Jinjing Shi Zimeng Xiao Heyuan Shi Yu Jiang Xuelong Li AAML 44 2 0 20 Feb 2024
The role of data embedding in equivariant quantum convolutional neural networks Sreetama Das Stefano Martina Filippo Caruso 27 5 0 20 Dec 2023
Towards an in-depth detection of malware using distributed QCNN Tony Quertier Grégoire Barrué 23 1 0 19 Dec 2023
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing M. Cerezo Martín Larocca Diego García-Martín N. L. Diaz Paolo Braccia ... Pablo Bermejo Aroosa Ijaz Supanut Thanasilp Eric R. Anschuetz Zoë Holmes 46 128 0 14 Dec 2023
Maximising Quantum-Computing Expressive Power through Randomised Circuits Yingli Yang Zongkang Zhang Anbang Wang Xiaosi Xu Xiaoting Wang Ying Li 26 3 0 04 Dec 2023
Quantum Inception Score Akira Sone Akira Tanji Naoki Yamamoto 38 2 0 20 Nov 2023
sQUlearn -- A Python Library for Quantum Machine Learning D. Kreplin Moritz Willmann Jan Schnabel Frederic Rapp Manuel Hagelüken M. Roth GP 32 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 35 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 51 13 0 03 Oct 2023
Symbolically integrating tensor networks over various random tensors by the second version of Python RTNI Motohisa Fukuda 24 1 0 03 Sep 2023
A Block-Ring connected Topology of Parameterized Quantum Circuits Wenjie Liu Qingshan Wu 19 2 0 21 Aug 2023
Quantum Convolutional Neural Networks with Interaction Layers for Classification of Classical Data Jishnu Mahmud Raisa Mashtura S. Fattah Mohammad Saquib 12 7 0 20 Jul 2023
Post-variational quantum neural networks Po-Wei Huang Patrick Rebentrost 22 3 0 20 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
Understanding quantum machine learning also requires rethinking generalization Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 38 45 0 23 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 33 10 0 12 Jun 2023
Reduction of finite sampling noise in quantum neural networks D. Kreplin Marco Roth 26 16 0 02 Jun 2023
Quantum Machine Learning for Malware Classification Grégoire Barrué Tony Quertier 78 2 0 09 May 2023
Trainability barriers and opportunities in quantum generative modeling Manuel S. Rudolph S. Lerch Supanut Thanasilp Oriel Kiss S. Vallecorsa Michele Grossi Zoë Holmes 56 25 0 04 May 2023
Tensor networks for quantum machine learning Hans-Martin Rieser Frank Köster A. Raulf 22 21 0 21 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
Quantum Recurrent Neural Networks for Sequential Learning Yanan Li Zhimin Wang Rongbing Han S. Shi Jiaxin Li R. Shang Haiyong Zheng Guoqiang Zhong Yongjian Gu 21 28 0 07 Feb 2023
Quantum anomaly detection in the latent space of proton collision events at the LHC Kinga Anna Wo'zniak Vasilis Belis E. Puljak Panagiotis Kl Barkoutsos Günther Dissertori Michele Grossi M. Pierini F. Reiter I. Tavernelli S. Vallecorsa 26 35 0 25 Jan 2023
Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating I. Nikoloska Osvaldo Simeone L. Banchi Petar Velickovic GNN 34 3 0 19 Jan 2023
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 24 19 0 05 Dec 2022
A Survey on Quantum Reinforcement Learning Nico Meyer Christian Ufrecht Maniraman Periyasamy Daniel D. Scherer Axel Plinge Christopher Mutschler AI4CE LRM 39 52 0 07 Nov 2022
Projection Valued Measure-based Quantum Machine Learning for Multi-Class Classification Won Joon Yun Hankyul Baek Joongheon Kim VLM 28 11 0 30 Oct 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 39 84 0 18 Oct 2022
3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applications Hankyul Baek Won Joon Yun Joongheon Kim 3DPC 24 4 0 18 Oct 2022