Trainability of Dissipative Perceptron-Based Quantum Neural Networks

26 May 2020

Papers citing "Trainability of Dissipative Perceptron-Based Quantum Neural Networks"

32 / 32 papers shown

Title
QFDNN: A Resource-Efficient Variational Quantum Feature Deep Neural Networks for Fraud Detection and Loan Prediction Subham Das Ashtakala Meghanath Bikash K. Behera Shahid Mumtaz Saif Al-Kuwari Ahmed Farouk 21 0 0 28 Apr 2025
Learning shallow quantum circuits Hsin-Yuan Huang Yunchao Liu Michael Broughton Isaac Kim Anurag Anshu Zeph Landau Jarrod R. McClean 32 26 0 18 Jan 2024
Understanding quantum machine learning also requires rethinking generalization Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 38 45 0 23 Jun 2023
Quantum Neural Network for Quantum Neural Computing Min-Gang Zhou Zhi-Ping Liu Hua‐Lei Yin Chen-Long Li Tong Xu Zeng-Bing Chen 27 39 0 15 May 2023
Variational Denoising for Variational Quantum Eigensolver Quoc-Hoan Tran Shinji Kikuchi H. Oshima 30 3 0 02 Apr 2023
Challenges and Opportunities in Quantum Machine Learning M. Cerezo Guillaume Verdon Hsin-Yuan Huang L. Cincio Patrick J. Coles VLM 19 406 0 16 Mar 2023
Error mitigation of entangled states using brainbox quantum autoencoders Joséphine Pazem M. Ansari 36 3 0 02 Mar 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
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning Massimiliano Incudini Michele Grossi Antonio Mandarino S. Vallecorsa Alessandra Di Pierro David Windridge 33 6 0 22 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 24 19 0 05 Dec 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 39 85 0 18 Oct 2022
Theory for Equivariant Quantum Neural Networks Quynh T. Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo 40 89 0 16 Oct 2022
Representation Theory for Geometric Quantum Machine Learning Michael Ragone Paolo Braccia Quynh T. Nguyen Louis Schatzki Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo AI4CE 28 73 0 14 Oct 2022
Group-Invariant Quantum Machine Learning Martín Larocca F. Sauvage Faris M. Sbahi Guillaume Verdon Patrick J. Coles M. Cerezo AI4CE 24 118 0 04 May 2022
Analytic theory for the dynamics of wide quantum neural networks Junyu Liu K. Najafi Kunal Sharma F. Tacchino Liang Jiang Antonio Mezzacapo 27 52 0 30 Mar 2022
Quantum Capsule Networks Zidu Liu Pei-Xin Shen Weikang Li L. Duan D. Deng GNN 46 18 0 05 Jan 2022
Generalization in quantum machine learning from few training data Matthias C. Caro Hsin-Yuan Huang M. Cerezo Kunal Sharma A. Sornborger L. Cincio Patrick J. Coles 10 355 0 09 Nov 2021
Subtleties in the trainability of quantum machine learning models Supanut Thanasilp Samson Wang Nhat A. Nghiem Patrick J. Coles M. Cerezo 38 61 0 27 Oct 2021
Theory of overparametrization in quantum neural networks Martín Larocca Nathan Ju Diego García-Martín Patrick J. Coles M. Cerezo 43 188 0 23 Sep 2021
Entangled Datasets for Quantum Machine Learning Louis Schatzki A. Arrasmith Patrick J. Coles M. Cerezo 33 58 0 08 Sep 2021
A Leap among Quantum Computing and Quantum Neural Networks: A Survey F. V. Massoli Lucia Vadicamo Giuseppe Amato Fabrizio Falchi 25 32 0 06 Jul 2021
Variational Quantum Classifiers Through the Lens of the Hessian Pinaki Sen Amandeep Singh Bhatia A. Bhatia Ahmed Elbeltagi 31 24 0 21 May 2021
Long-time simulations with high fidelity on quantum hardware Joe Gibbs Kaitlin Gili Zoë Holmes Benjamin Commeau A. Arrasmith L. Cincio Patrick J. Coles A. Sornborger 58 53 0 08 Feb 2021
On the statistical complexity of quantum circuits Kaifeng Bu D. E. Koh Lu Li Qingxian Luo Yaobo Zhang 53 43 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 21 45 0 08 Jan 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 145 423 0 06 Jan 2021
On barren plateaus and cost function locality in variational quantum algorithms Alexey Uvarov Jacob Biamonte 13 124 0 20 Nov 2020
Non-trivial symmetries in quantum landscapes and their resilience to quantum noise Enrico Fontana M. Cerezo A. Arrasmith I. Rungger Patrick J. Coles 22 22 0 17 Nov 2020
Absence of Barren Plateaus in Quantum Convolutional Neural Networks Arthur Pesah M. Cerezo Samson Wang T. Volkoff A. Sornborger Patrick J. Coles 22 278 0 05 Nov 2020
Entanglement Induced Barren Plateaus Carlos Ortiz Marrero M. Kieferová N. Wiebe 27 277 0 29 Oct 2020
Noise-Induced Barren Plateaus in Variational Quantum Algorithms Samson Wang Enrico Fontana M. Cerezo Kunal Sharma A. Sone L. Cincio Patrick J. Coles 143 655 0 28 Jul 2020
Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets Kunal Sharma M. Cerezo Zoë Holmes L. Cincio A. Sornborger Patrick J. Coles 16 48 0 09 Jul 2020