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Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits

20 February 2025

Papers citing "Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits"

47 / 47 papers shown

Title
Connecting phases of matter to the flatness of the loss landscape in analog variational quantum algorithms Kasidit Srimahajariyapong Supanut Thanasilp Thiparat Chotibut 24 0 0 01 Jul 2025
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 117 0 0 13 May 2025
Quantum Autoencoder for Multivariate Time Series Anomaly Detection Kilian Tscharke Maximilian Wendlinger Afrae Ahouzi Pallavi Bhardwaj Kaweh Amoi-Taleghani Michael Schrödl-Baumann Pascal Debus 52 0 0 24 Apr 2025
The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits Yuqing Li Jinglei Cheng Xulong Tang Youtao Zhang Frederic T. Chong Junyu Liu 97 0 0 16 Dec 2024
Quantum Circuit Training with Growth-Based Architectures Callum Duffy Smit Chaudhary Gergana V. Velikova 124 0 0 25 Nov 2024
Expressivity of deterministic quantum computation with one qubit Yujin Kim Daniel K. Park 68 0 0 05 Nov 2024
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks Andrea Ceschini Francesco Mauro Francesca De Falco A. Sebastianelli A. Verdone A. Rosato Bertrand Le Saux Massimo Panella Paolo Gamba Silvia Liberata Ullo GNN AI4CE 87 1 0 12 Aug 2024
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey Jack Cunningham Jun Zhuang 101 5 0 25 Jul 2024
On the relation between trainability and dequantization of variational quantum learning models Elies Gil-Fuster Casper Gyurik Adrián Pérez-Salinas Vedran Dunjko 106 12 0 11 Jun 2024
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning Michael Kölle Timo Witter Tobias Rohe Gerhard Stenzel Philipp Altmann Thomas Gabor 57 3 0 20 May 2024
Improving Trainability of Variational Quantum Circuits via Regularization Strategies Jun Zhuang Jack Cunningham Chaowen Guan 73 4 0 02 May 2024
Variational quantum simulation: a case study for understanding warm starts Ricard Puig-i-Valls Marc Drudis Supanut Thanasilp Zoë Holmes 138 22 0 15 Apr 2024
On Optimizing Hyperparameters for Quantum Neural Networks Sabrina Herbst Vincenzo De Maio Ivona Brandić 89 3 0 27 Mar 2024
VQC-Based Reinforcement Learning with Data Re-uploading: Performance and Trainability Rodrigo Coelho André Sequeira Luis Paulo Santos 103 14 0 21 Jan 2024
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 97 138 0 14 Dec 2023
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly Jonas Stein Navid Roshani Maximilian Zorn Philipp Altmann Michael Kolle Claudia Linnhoff-Popien 56 1 0 09 Dec 2023
Toward Automated Quantum Variational Machine Learning Omer Subasi 76 3 0 04 Dec 2023
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks Hao Zhang Chenghong Zhu M. Jing Xin Wang 65 4 0 26 Sep 2023
Quantum Deep Hedging El Amine Cherrat S. Raj Iordanis Kerenidis Abhishek Shekhar Ben Wood ... Pierre Minssen Ruslan Shaydulin Yue Sun Romina Yalovetzky Marco Pistoia 78 26 0 29 Mar 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification Yuxuan Du Yibo Yang Dacheng Tao Min-hsiu Hsieh 112 23 0 29 Dec 2022
A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers Xuchen You Shouvanik Chakrabarti Xiaodi Wu 88 34 0 25 May 2022
Analytic theory for the dynamics of wide quantum neural networks Junyu Liu K. Najafi Kunal Sharma F. Tacchino Liang Jiang Antonio Mezzacapo 66 53 0 30 Mar 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 112 385 0 09 Nov 2021
Exponentially Many Local Minima in Quantum Neural Networks Xuchen You Xiaodi Wu 133 54 0 06 Oct 2021
Theory of overparametrization in quantum neural networks Martín Larocca Nathan Ju Diego García-Martín Patrick J. Coles M. Cerezo 103 192 0 23 Sep 2021
Entangled Datasets for Quantum Machine Learning Louis Schatzki A. Arrasmith Patrick J. Coles M. Cerezo 101 60 0 08 Sep 2021
Capacity and quantum geometry of parametrized quantum circuits Tobias Haug Kishor Bharti M. S. Kim 99 103 0 02 Feb 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 240 432 0 06 Jan 2021
Variational Quantum Algorithms M. Cerezo A. Arrasmith Ryan Babbush S. Benjamin Suguru Endo ... Jarrod R. McClean K. Mitarai Xiao Yuan L. Cincio Patrick J. Coles 170 2,563 0 16 Dec 2020
Effect of barren plateaus on gradient-free optimization A. Arrasmith M. Cerezo Piotr Czarnik L. Cincio Patrick J. Coles 106 217 0 24 Nov 2020
On barren plateaus and cost function locality in variational quantum algorithms Alexey Uvarov Jacob Biamonte 103 126 0 20 Nov 2020
Absence of Barren Plateaus in Quantum Convolutional Neural Networks Arthur Pesah M. Cerezo Samson Wang T. Volkoff A. Sornborger Patrick J. Coles 90 283 0 05 Nov 2020
Entanglement Induced Barren Plateaus Carlos Ortiz Marrero M. Kieferová N. Wiebe 87 282 0 29 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 89 183 0 13 Oct 2020
A divide-and-conquer algorithm for quantum state preparation Israel F. Araujo D. Park Francesco Petruccione A. J. D. Silva 70 176 0 04 Aug 2020
Noise-Induced Barren Plateaus in Variational Quantum Algorithms Samson Wang Enrico Fontana M. Cerezo Kunal Sharma A. Sone L. Cincio Patrick J. Coles 334 671 0 28 Jul 2020
Layerwise learning for quantum neural networks Andrea Skolik Jarrod R. McClean Masoud Mohseni Patrick van der Smagt Martin Leib 71 288 0 26 Jun 2020
Variational Quantum Singular Value Decomposition Xin Wang Zhixin Song Youle Wang DRL 115 67 0 03 Jun 2020
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 92 241 0 02 Oct 2019
Quantum Natural Gradient J. Stokes J. Izaac N. Killoran Giuseppe Carleo 66 414 0 04 Sep 2019
Variational Quantum Circuits for Deep Reinforcement Learning Samuel Yen-Chi Chen Chao-Han Huck Yang Jun Qi Pin-Yu Chen Xiaoli Ma H. Goan 108 312 0 30 Jun 2019
Parameterized quantum circuits as machine learning models Marcello Benedetti Erika Lloyd Stefan H. Sack Mattia Fiorentini 148 904 0 18 Jun 2019
Gradient Descent Finds Global Minima of Deep Neural Networks S. Du Jason D. Lee Haochuan Li Liwei Wang Masayoshi Tomizuka ODL 342 1,136 0 09 Nov 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 346 3,226 0 20 Jun 2018
Supervised learning with quantum enhanced feature spaces Vojtěch Havlíček A. Córcoles K. Temme A. Harrow A. Kandala J. Chow J. Gambetta 120 1,852 0 30 Apr 2018
Barren plateaus in quantum neural network training landscapes Jarrod R. McClean Sergio Boixo V. Smelyanskiy Ryan Babbush Hartmut Neven 155 1,836 0 29 Mar 2018
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.4K 150,597 0 22 Dec 2014