Noise-Induced Barren Plateaus in Variational Quantum Algorithms

28 July 2020

Papers citing "Noise-Induced Barren Plateaus in Variational Quantum Algorithms"

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Title
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles Junghoon Justin Park Jiook Cha Samuel Yen-Chi Chen H. Tseng Shinjae Yoo 29 0 0 13 May 2025
The effect of the number of parameters and the number of local feature patches on loss landscapes in distributed quantum neural networks Yoshiaki Kawase 73 0 0 27 Apr 2025
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits Kaining Zhang Liu Liu Min-hsiu Hsieh Dacheng Tao 50 60 0 20 Feb 2025
Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks Sabrina Herbst S. S. Cranganore Vincenzo De Maio Ivona Brandić 48 0 0 17 Feb 2025
Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search Vincenzo Lipardi Domenica Dibenedetto Georgios Stamoulis Mark H.M. Winands 117 0 0 06 Feb 2025
Evolving a Multi-Population Evolutionary-QAOA on Distributed QPUs F. Schiavello Edoardo Altamura I. Tavernelli Stefano Mensa Benjamin C. B. Symons 31 1 0 16 Sep 2024
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey Bikram Khanal Pablo Rivas Arun Sanjel Korn Sooksatra Ernesto Quevedo Alejandro Rodriguez 26 2 0 11 Sep 2024
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey Jack Cunningham Jun Zhuang 32 4 0 25 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 58 1 0 26 Jun 2024
Quantum Architecture Search: A Survey Darya Martyniuk Johannes Jung Adrian Paschke AI4CE 34 7 0 10 Jun 2024
Variational quantum simulation: a case study for understanding warm starts Ricard Puig-i-Valls Marc Drudis Supanut Thanasilp Zoë Holmes 32 20 0 15 Apr 2024
On Optimizing Hyperparameters for Quantum Neural Networks Sabrina Herbst Vincenzo De Maio Ivona Brandić 31 2 0 27 Mar 2024
Learning shallow quantum circuits Hsin-Yuan Huang Yunchao Liu Michael Broughton Isaac Kim Anurag Anshu Zeph Landau Jarrod R. McClean 30 26 0 18 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 38 128 0 14 Dec 2023
Hierarchical Learning for Quantum ML: Novel Training Technique for Large-Scale Variational Quantum Circuits H. Gharibyan Vincent Su Hayk H. Tepanyan 40 1 0 21 Nov 2023
Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks Borja Aizpurua Pablo Bermejo Josu Etxezarreta Martinez Roman Orus 30 5 0 06 Nov 2023
Computing the gradients with respect to all parameters of a quantum neural network using a single circuit Guanglei He 34 1 0 16 Jul 2023
The quantum cost function concentration dependency on the parametrization expressivity Lucas Friedrich Jonas Maziero 28 14 0 17 Jan 2023
Restricting to the chip architecture maintains the quantum neural network accuracy Lucas Friedrich Jonas Maziero 24 3 0 29 Dec 2022
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification Yuxuan Du Yibo Yang Dacheng Tao Min-hsiu Hsieh 36 22 0 29 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 19 19 0 05 Dec 2022
Faster variational quantum algorithms with quantum kernel-based surrogate models Alistair W. R. Smith A. Paige Myungshik S. Kim 8 4 0 02 Nov 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 31 84 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 27 88 0 16 Oct 2022
The Complexity of NISQ Sitan Chen Jordan S. Cotler Hsin-Yuan Huang Jungshian Li 29 70 0 13 Oct 2022
Stochastic noise can be helpful for variational quantum algorithms Junyu Liu Frederik Wilde A. A. Mele Liang Jiang Jens Eisert Jens Eisert 16 34 0 13 Oct 2022
A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms Javier Mancilla Christophe Pere VLM 20 17 0 28 Aug 2022
Exponential concentration in quantum kernel methods Supanut Thanasilp Samson Wang M. Cerezo Zoë Holmes 11 76 0 23 Aug 2022
Running the Dual-PQC GAN on noisy simulators and real quantum hardware Su Yeon Chang Edwin Agnew E. Combarro Michele Grossi Steven Herbert S. Vallecorsa 17 7 0 30 May 2022
Evolution strategies: Application in hybrid quantum-classical neural networks Lucas Friedrich Jonas Maziero 14 8 0 17 May 2022
Equivariant quantum circuits for learning on weighted graphs Andrea Skolik Michele Cattelan S. Yarkoni Thomas Bäck Vedran Dunjko 26 68 0 12 May 2022
Analytic theory for the dynamics of wide quantum neural networks Junyu Liu K. Najafi Kunal Sharma F. Tacchino Liang Jiang Antonio Mezzacapo 22 52 0 30 Mar 2022
Quantum Capsule Networks Zidu Liu Pei-Xin Shen Weikang Li L. Duan D. Deng GNN 40 18 0 05 Jan 2022
Mode connectivity in the loss landscape of parameterized quantum circuits Kathleen E. Hamilton E. Lynn R. Pooser 25 3 0 09 Nov 2021
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 8 354 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 30 61 0 27 Oct 2021
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 18 11 0 08 Oct 2021
Theory of overparametrization in quantum neural networks Martín Larocca Nathan Ju Diego García-Martín Patrick J. Coles M. Cerezo 32 188 0 23 Sep 2021
Entangled Datasets for Quantum Machine Learning Louis Schatzki A. Arrasmith Patrick J. Coles M. Cerezo 14 58 0 08 Sep 2021
Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms? Samson Wang Piotr Czarnik A. Arrasmith M. Cerezo L. Cincio Patrick J. Coles 64 81 0 02 Sep 2021
A Leap among Quantum Computing and Quantum Neural Networks: A Survey F. V. Massoli Lucia Vadicamo Giuseppe Amato Fabrizio Falchi 23 32 0 06 Jul 2021
Optimal training of variational quantum algorithms without barren plateaus Tobias Haug M. S. Kim 35 35 0 29 Apr 2021
Quantum Optimization for Training Quantum Neural Networks Yidong Liao Min-hsiu Hsieh C. Ferrie 15 16 0 31 Mar 2021
Entanglement Diagnostics for Efficient Quantum Computation Joonho Kim Yaron Oz 21 10 0 24 Feb 2021
Quantum machine learning with adaptive linear optics Ulysse Chabaud D. Markham A. Sohbi 11 21 0 08 Feb 2021
Noisy intermediate-scale quantum (NISQ) algorithms Kishor Bharti Alba Cervera-Lierta T. Kyaw Tobias Haug Sumner Alperin-Lea ... Tim Menke Wai-Keong Mok Sukin Sim L. Kwek Alán Aspuru-Guzik 103 390 0 21 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 125 420 0 06 Jan 2021
Non-trivial symmetries in quantum landscapes and their resilience to quantum noise Enrico Fontana M. Cerezo A. Arrasmith I. Rungger Patrick J. Coles 20 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 6 278 0 05 Nov 2020