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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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 21 11 0 17 Jan 2024
Élivágar: Efficient Quantum Circuit Search for Classification Sashwat Anagolum Narges Alavisamani Poulami Das Moinuddin K. Qureshi Eric Kessler Yunong Shi 36 14 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 31 5 0 13 Jan 2024
Advantage of Quantum Neural Networks as Quantum Information Decoders Weishun Zhong O. Shtanko R. Movassagh 18 1 0 11 Jan 2024
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits Tianlong Chen Zhenyu (Allen) Zhang Hanrui Wang Jiaqi Gu Zi-Chen Li David Z. Pan Frederic T. Chong Song Han Zhangyang Wang 29 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 23 4 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 26 23 0 23 Dec 2023
Distributed Quantum Neural Networks via Partitioned Features Encoding Yoshiaki Kawase 25 5 0 21 Dec 2023
The role of data embedding in equivariant quantum convolutional neural networks Sreetama Das Stefano Martina Filippo Caruso 27 5 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 43 128 0 14 Dec 2023
A Novel Image Classification Framework Based on Variational Quantum Algorithms Yixiong Chen 29 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 19 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 23 3 0 04 Dec 2023
Toward Automated Quantum Variational Machine Learning Omer Subasi 23 2 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 53 1 0 21 Nov 2023
Quantum Inception Score Akira Sone Akira Tanji Naoki Yamamoto 38 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 30 12 0 19 Nov 2023
Tensor networks for interpretable and efficient quantum-inspired machine learning Shirli Ran Gang Su 45 7 0 19 Nov 2023
Variational Quantum Eigensolver with Constraints (VQEC): Solving Constrained Optimization Problems via VQE Thinh Viet Le V. Kekatos 19 3 0 14 Nov 2023
Quantum Machine Learning for Remote Sensing: Exploring potential and challenges Mikolaj Czerkawski Lorenzo Papa B. L. Saux Irene Amerini 51 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 33 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 32 7 0 08 Nov 2023
Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks Borja Aizpurua Pablo Bermejo Josu Etxezarreta Martinez Roman Orus 37 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 27 13 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 28 5 0 31 Oct 2023
Variational measurement-based quantum computation for generative modeling Arunava Majumder Marius Krumm Tina Radkohl Hendrik Poulsen Nautrup Sofiene Jerbi H. Briegel 35 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 10 3 0 19 Oct 2023
A Hyperparameter Study for Quantum Kernel Methods Sebastian Egginger Alona Sakhnenko J. M. Lorenz 27 6 0 18 Oct 2023
Generative quantum machine learning via denoising diffusion probabilistic models Bing-Qi Zhang Peng Xu Xiaohui Chen Quntao Zhuang DiffM AI4CE 35 18 0 09 Oct 2023
Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks Debanjan Konar Dheeraj Peddireddy Vaneet Aggarwal B. K. Panigrahi 23 0 0 02 Oct 2023
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks Hao Zhang Chenghong Zhu M. Jing Xin Wang 26 4 0 26 Sep 2023
On the expressivity of embedding quantum kernels Elies Gil-Fuster Jens Eisert Vedran Dunjko 35 16 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 25 5 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 39 1 0 11 Sep 2023
What can we learn from quantum convolutional neural networks? Chukwudubem Umeano Annie E. Paine V. Elfving Oleksandr Kyriienko 25 12 0 31 Aug 2023
Quantum Next Generation Reservoir Computing: An Efficient Quantum Algorithm for Forecasting Quantum Dynamics Apimuk Sornsaeng Ninnat Dangniam Thiparat Chotibut 23 8 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 24 7 0 24 Aug 2023
Several fitness functions and entanglement gates in quantum kernel generation Haiyan Wang 16 3 0 22 Aug 2023
A Block-Ring connected Topology of Parameterized Quantum Circuits Wenjie Liu Qingshan Wu 17 2 0 21 Aug 2023
Neural Networks for Programming Quantum Annealers Samuel Bosch B. Kiani Rui-Yuan Yang A. Lupascu S. Lloyd 22 2 0 13 Aug 2023
Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel Kilian Tscharke Sebastian Issel Pascal Debus 20 8 0 01 Aug 2023
Post-variational quantum neural networks Po-Wei Huang Patrick Rebentrost 19 3 0 20 Jul 2023
A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices Jinyang Li Zhepeng Wang Zhirui Hu Prasanna Date A. Li Weiwen Jiang 32 10 0 19 Jul 2023
Computing the gradients with respect to all parameters of a quantum neural network using a single circuit Guanglei He 39 1 0 16 Jul 2023
Noisy Tensor Ring approximation for computing gradients of Variational Quantum Eigensolver for Combinatorial Optimization Dheeraj Peddireddy Utkarsh Priyam Vaneet Aggarwal 14 2 0 08 Jul 2023
Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger Forging Paulin de Schoulepnikoff Oriel Kiss S. Vallecorsa Giuseppe Carleo Michele Grossi 19 9 0 05 Jul 2023
Quantum Neural Estimation of Entropies Ziv Goldfeld Dhrumil Patel Sreejith Sreekumar Mark M. Wilde 32 9 0 03 Jul 2023
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications Yaswitha Gujju A. Matsuo Raymond H. Putra 20 23 0 03 Jul 2023
Optimizing Kernel-Target Alignment for cloud detection in multispectral satellite images Artur Miroszewski Jakub Mielczarek Filip Szczepanek G. Czelusta B. Grabowski Bertrand Le Saux J. Nalepa 16 2 0 26 Jun 2023
Understanding quantum machine learning also requires rethinking generalization Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 35 45 0 23 Jun 2023