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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Quantum linear algebra is all you need for Transformer architectures Naixu Guo Zhan Yu Matthew Choi Aman Agrawal Kouhei Nakaji Alán Aspuru-Guzik Patrick Rebentrost AI4CE 72 16 0 26 Feb 2024
Spectral invariance and maximality properties of the frequency spectrum of quantum neural networks Patrick Holzer Ivica Turkalj 79 1 0 22 Feb 2024
ResQuNNs:Towards Enabling Deep Learning in Quantum Convolution Neural Networks Muhammad Kashif Muhammad Shafique 95 5 0 14 Feb 2024
Trained quantum neural networks are Gaussian processes Filippo Girardi Giacomo De Palma 61 3 0 13 Feb 2024
Arbitrary Polynomial Separations in Trainable Quantum Machine Learning Eric R. Anschuetz Xun Gao 72 4 0 13 Feb 2024
Quantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS Mohammad Ghazi Vakili Christoph Gorgulla AkshatKumar Nigam Dmitry Bezrukov Daniel Varoli ... Feng Ren Yudong Cao Igor Štagljar Alán Aspuru-Guzik Alex Zhavoronkov 63 10 0 13 Feb 2024
Quantum neural network with ensemble learning to mitigate barren plateaus and cost function concentration Lucas Friedrich Jonas Maziero 98 4 0 08 Feb 2024
Unleashing the Expressive Power of Pulse-Based Quantum Neural Networks Han-Xiao Tao Jiaqi Hu Re-Bing Wu 64 3 0 05 Feb 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
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance Yunfei Wang Junyu Liu 77 40 0 21 Jan 2024
Quantum Architecture Search with Unsupervised Representation Learning Yize Sun Zixin Wu Yunpu Ma Volker Tresp 104 8 0 21 Jan 2024
Learning shallow quantum circuits Hsin-Yuan Huang Yunchao Liu Michael Broughton Isaac Kim Anurag Anshu Zeph Landau Jarrod R. McClean 81 31 0 18 Jan 2024
Symmetry breaking in geometric quantum machine learning in the presence of noise Cenk Tüysüz Su Yeon Chang Maria Demidik Karl Jansen S. Vallecorsa Michele Grossi 56 12 0 17 Jan 2024
Élivágar: Efficient Quantum Circuit Search for Classification Sashwat Anagolum Narges Alavisamani Poulami Das Moinuddin K. Qureshi Eric Kessler Yunong Shi 98 18 0 17 Jan 2024
Quantum Advantage Actor-Critic for Reinforcement Learning Michael Kolle Mohamad Hgog Fabian Ritz Philipp Altmann Maximilian Zorn Jonas Stein Claudia Linnhoff-Popien 89 7 0 13 Jan 2024
Advantage of Quantum Neural Networks as Quantum Information Decoders Weishun Zhong O. Shtanko R. Movassagh 33 2 0 11 Jan 2024
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits Tianlong Chen Zhenyu Zhang Hanrui Wang Jiaqi Gu Zi-Chen Li David Z. Pan Frederic T. Chong Song Han Zhangyang Wang 92 0 0 10 Jan 2024
Hybrid quantum cycle generative adversarial network for small molecule generation Matvei Anoshin Asel Sagingalieva Christopher Mansell Vishal Shete M. Pflitsch Alexey A. Melnikov BDL GAN 79 8 0 28 Dec 2023
On fundamental aspects of quantum extreme learning machines Weijie Xiong Giorgio Facelli Mehrad Sahebi Owen Agnel Thiparat Chotibut Supanut Thanasilp Zoë Holmes 60 26 0 23 Dec 2023
Distributed Quantum Neural Networks via Partitioned Features Encoding Yoshiaki Kawase 74 6 0 21 Dec 2023
The role of data embedding in equivariant quantum convolutional neural networks Sreetama Das Stefano Martina Filippo Caruso 56 6 0 20 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 97 138 0 14 Dec 2023
A Novel Image Classification Framework Based on Variational Quantum Algorithms Yixiong Chen 61 3 0 13 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
Maximising Quantum-Computing Expressive Power through Randomised Circuits Yingli Yang Zongkang Zhang Anbang Wang Xiaosi Xu Xiaoting Wang Ying Li 54 4 0 04 Dec 2023
Toward Automated Quantum Variational Machine Learning Omer Subasi 71 3 0 04 Dec 2023
Hierarchical Learning for Quantum ML: Novel Training Technique for Large-Scale Variational Quantum Circuits H. Gharibyan Vincent Su Hayk H. Tepanyan 77 1 0 21 Nov 2023
Quantum Inception Score Akira Sone Akira Tanji Naoki Yamamoto 69 2 0 20 Nov 2023
Symmetry-invariant quantum machine learning force fields Isabel Nha Minh Le Oriel Kiss Julian Schuhmacher I. Tavernelli F. Tacchino AI4CE 73 12 0 19 Nov 2023
Tensor networks for interpretable and efficient quantum-inspired machine learning Shirli Ran Gang Su 83 8 0 19 Nov 2023
Variational Quantum Eigensolver with Constraints (VQEC): Solving Constrained Optimization Problems via VQE Thinh Viet Le V. Kekatos 53 3 0 14 Nov 2023
Quantum Machine Learning for Remote Sensing: Exploring potential and challenges Mikolaj Czerkawski Lorenzo Papa B. L. Saux Irene Amerini 90 3 0 13 Nov 2023
3D-QAE: Fully Quantum Auto-Encoding of 3D Point Clouds Lakshika Rathi Edith Tretschk Christian Theobalt Rishabh Dabral Vladislav Golyanik 3DPC 63 2 0 09 Nov 2023
Expressibility-induced Concentration of Quantum Neural Tangent Kernels Li-Wei Yu Weikang Li Qi Ye Zhide Lu Zizhao Han Dong-Ling Deng 74 8 0 08 Nov 2023
Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks Borja Aizpurua Pablo Bermejo Josu Etxezarreta Martinez Roman Orus 105 5 0 06 Nov 2023
Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis L. Lusnig Asel Sagingalieva Mikhail Surmach Tatjana Protasevich Ovidiu Michiu ... Graziano de' Petris D. Bonazza Fabrizio Zanconati A. Melnikov Fabio Cavalli 101 16 0 04 Nov 2023
Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction José Daniel Viqueira Daniel Faílde M. M. Juane Andrés Gómez David Mera 93 6 0 31 Oct 2023
Variational measurement-based quantum computation for generative modeling Arunava Majumder Marius Krumm Tina Radkohl Hendrik Poulsen Nautrup Sofiene Jerbi Hans J. Briegel 72 7 0 20 Oct 2023
Gradient Descent Fails to Learn High-frequency Functions and Modular Arithmetic Rustem Takhanov Maxat Tezekbayev Artur Pak Arman Bolatov Z. Assylbekov 37 3 0 19 Oct 2023
A Hyperparameter Study for Quantum Kernel Methods Sebastian Egginger Alona Sakhnenko J. M. Lorenz 91 9 0 18 Oct 2023
Generative quantum machine learning via denoising diffusion probabilistic models Bing-Qi Zhang Peng Xu Xiaohui Chen Quntao Zhuang DiffM AI4CE 95 22 0 09 Oct 2023
Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks Debanjan Konar Dheeraj Peddireddy Vaneet Aggarwal B. K. Panigrahi 57 0 0 02 Oct 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
On the expressivity of embedding quantum kernels Elies Gil-Fuster Jens Eisert Vedran Dunjko 68 20 0 25 Sep 2023
Data is often loadable in short depth: Quantum circuits from tensor networks for finance, images, fluids, and proteins R. Jumade Nicolas P. D. Sawaya 100 6 0 22 Sep 2023
A quantum tug of war between randomness and symmetries on homogeneous spaces Rahul Arvind Kishor Bharti Jun Yong Khoo D. E. Koh Jian Feng Kong 67 1 0 11 Sep 2023
What can we learn from quantum convolutional neural networks? Chukwudubem Umeano Annie E. Paine V. Elfving Oleksandr Kyriienko 76 14 0 31 Aug 2023
Quantum Next Generation Reservoir Computing: An Efficient Quantum Algorithm for Forecasting Quantum Dynamics Apimuk Sornsaeng Ninnat Dangniam Thiparat Chotibut 59 9 0 28 Aug 2023
Parallel-in-time quantum simulation via Page and Wootters quantum time N. L. Diaz Paolo Braccia Martín Larocca J. Matera R. Rossignoli M. Cerezo 47 9 0 24 Aug 2023
Several fitness functions and entanglement gates in quantum kernel generation Haiyan Wang 63 4 0 22 Aug 2023