Barren plateaus in quantum neural network training landscapes

29 March 2018

Jarrod R. McClean

Sergio Boixo

V. Smelyanskiy

Ryan Babbush

Hartmut Neven

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Papers citing "Barren plateaus in quantum neural network training landscapes"

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Towards quantum enhanced adversarial robustness in machine learning Maxwell T. West S. Tsang J. S. Low C. Hill C. Leckie Lloyd C. L. Hollenberg S. Erfani Muhammad Usman AAML OOD 16 53 0 22 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
Transition Role of Entangled Data in Quantum Machine Learning Xinbiao Wang Yuxuan Du Zhuozhuo Tu Yong Luo Xiao Yuan Dacheng Tao 43 8 0 06 Jun 2023
Reduction of finite sampling noise in quantum neural networks D. Kreplin Marco Roth 26 16 0 02 Jun 2023
On quantum backpropagation, information reuse, and cheating measurement collapse Amira Abbas Robbie King Hsin-Yuan Huang W. Huggins R. Movassagh D. Gilboa Jarrod R. McClean 42 39 0 22 May 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 19 39 0 15 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
Energy-dependent barren plateau in bosonic variational quantum circuits Bingzhi Zhang Quntao Zhuang 37 5 0 02 May 2023
Quantum Gaussian Process Regression for Bayesian Optimization Frederic Rapp Marco Roth GP 18 19 0 25 Apr 2023
Learning To Optimize Quantum Neural Network Without Gradients Ankit Kulshrestha Xiaoyuan Liu Hayato Ushijima-Mwesigwa Ilya Safro 20 5 0 15 Apr 2023
Variational Denoising for Variational Quantum Eigensolver Quoc-Hoan Tran Shinji Kikuchi H. Oshima 16 3 0 02 Apr 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 26 25 0 29 Mar 2023
Quantum approximate optimization via learning-based adaptive optimization Lixue Cheng Yu-Qin Chen Shi-Xin Zhang Shengyu Zhang 29 24 0 27 Mar 2023
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels Xuchen You Shouvanik Chakrabarti Boyang Chen Xiaodi Wu 34 10 0 26 Mar 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
Parallel Hybrid Networks: an interplay between quantum and classical neural networks Mohammad Kordzanganeh Daria Kosichkina A. Melnikov GNN 42 22 0 06 Mar 2023
Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent Jun Qi Xiaolin Zhang Javier Tejedor FedML 23 8 0 27 Feb 2023
Differentiable Rotamer Sampling with Molecular Force Fields Congzhou M. Sha Jian Wang Nikolay V. Dokholyan 22 2 0 22 Feb 2023
Effects of noise on the overparametrization of quantum neural networks Diego García-Martín Martín Larocca M. Cerezo 30 17 0 10 Feb 2023
Fourier series weight in quantum machine learning Parfait Atchade-Adelomou Kent Larson 22 0 0 31 Jan 2023
The quantum cost function concentration dependency on the parametrization expressivity Lucas Friedrich Jonas Maziero 38 14 0 17 Jan 2023
SEQUENT: Towards Traceable Quantum Machine Learning using Sequential Quantum Enhanced Training Philipp Altmann Leo Sünkel Jonas Stein Tobias Müller Christoph Roch Claudia Linnhoff-Popien 20 5 0 06 Jan 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification Yuxuan Du Yibo Yang Dacheng Tao Min-hsiu Hsieh 41 22 0 29 Dec 2022
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
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation S. Tsang Maxwell T. West S. Erfani Muhammad Usman GAN 21 33 0 22 Dec 2022
Harmonic (Quantum) Neural Networks Atiyo Ghosh Antonio A. Gentile M. Dagrada Chul Lee S. Kim Hyukgeun Cha Yunjun Choi Brad Kim J. Kye V. Elfving AI4CE 35 1 0 14 Dec 2022
Quantum Policy Gradient Algorithm with Optimized Action Decoding Nico Meyer Daniel D. Scherer Axel Plinge Christopher Mutschler M. Hartmann 29 19 0 13 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 24 19 0 05 Dec 2022
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding Won Joon Yun Jae Pyoung Kim Hankyul Baek Soyi Jung Jihong Park M. Bennis Joongheon Kim 25 4 0 04 Dec 2022
An exponentially-growing family of universal quantum circuits Mohammad Kordzanganeh P. Sekatski Leonid Fedichkin A. Melnikov 30 20 0 01 Dec 2022
Numerical evidence against advantage with quantum fidelity kernels on classical data L. Slattery Ruslan Shaydulin Shouvanik Chakrabarti Marco Pistoia Sami Khairy Stefan M. Wild 19 17 0 29 Nov 2022
Benchmarking simulated and physical quantum processing units using quantum and hybrid algorithms Mohammad Kordzanganeh M. Buchberger Basil Kyriacou Maxim Povolotskii W. Fischer Andrii Kurkin Wilfrid Somogyi Asel Sagingalieva M. Pflitsch A. Melnikov 37 38 0 28 Nov 2022
Expressibility-Enhancing Strategies for Quantum Neural Networks Y. Liao Junpeng Zhan 26 6 0 23 Nov 2022
Near-Term Quantum Computing Techniques: Variational Quantum Algorithms, Error Mitigation, Circuit Compilation, Benchmarking and Classical Simulation Heliang Huang Xiao-Yue Xu Chu Guo Guojing Tian Shijie Wei Xiaoming Sun Wansu Bao G. Long 11 69 0 16 Nov 2022
An Invitation to Distributed Quantum Neural Networks Lirande Pira C. Ferrie 35 16 0 14 Nov 2022
Efficient and quantum-adaptive machine learning with fermion neural networks Peikun Zheng Jia-Bao Wang Yi Zhang 20 3 0 10 Nov 2022
Hybrid quantum neural network for drug response prediction Asel Sagingalieva Mohammad Kordzanganeh Nurbolat Kenbayev Daria Kosichkina Tatiana Tomashuk A. Melnikov 31 68 0 10 Nov 2022
Quantum Deep Dreaming: A Novel Approach for Quantum Circuit Design Romi Lifshitz 11 3 0 05 Nov 2022
eXplainable AI for Quantum Machine Learning Patrick Steinmüller Tobias Schulz Ferdinand Graf Daniel Herr 11 13 0 02 Nov 2022
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition Chao-Han Huck Yang Bo-wen Li Yu Zhang Nanxin Chen Tara N. Sainath Sabato Marco Siniscalchi Chin-Hui Lee 27 6 0 02 Nov 2022
Faster variational quantum algorithms with quantum kernel-based surrogate models Alistair W. R. Smith A. Paige Myungshik S. Kim 20 4 0 02 Nov 2022
Hierarchical quantum circuit representations for neural architecture search Matt Lourens I. Sinayskiy D. Park Carsten Blank Francesco Petruccione 19 12 0 26 Oct 2022
Learning to predict arbitrary quantum processes Hsin-Yuan Huang Sitan Chen J. Preskill 60 65 0 26 Oct 2022
Protocols for classically training quantum generative models on probability distributions S. Kasture Oleksandr Kyriienko V. Elfving 9 9 0 24 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
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
QuAnt: Quantum Annealing with Learnt Couplings Marcel Seelbach Benkner Maximilian Krahn Edith Tretschk Zorah Lähner Michael Moeller Vladislav Golyanik 28 5 0 13 Oct 2022