Connecting ansatz expressibility to gradient magnitudes and barren plateaus

6 January 2021

Zoë Holmes

Papers citing "Connecting ansatz expressibility to gradient magnitudes and barren plateaus"

50 / 119 papers shown

Title
Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars Akash Sinha A. Macaluso Matthias Klusch 47 4 0 20 Nov 2023
Symmetry-invariant quantum machine learning force fields Isabel Nha Minh Le Oriel Kiss Julian Schuhmacher I. Tavernelli F. Tacchino AI4CE 28 12 0 19 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
Approximately Equivariant Quantum Neural Network for $p4m$ Group Symmetries in Images Su Yeon Chang Michele Grossi B. L. Saux S. Vallecorsa 49 13 0 03 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
Parallel-in-time quantum simulation via Page and Wootters quantum time N. L. Diaz Paolo Braccia Martín Larocca J. Matera R. Rossignoli M. Cerezo 22 7 0 24 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 17 3 0 20 Jul 2023
Inter-case Predictive Process Monitoring: A candidate for Quantum Machine Learning? Stefan Hill David Fitzek Patrick Delfmann Carl Corea 11 0 0 30 Jun 2023
Understanding quantum machine learning also requires rethinking generalization Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 32 45 0 23 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 28 10 0 12 Jun 2023
Improving Quantum Circuit Synthesis with Machine Learning Mathias Weiden Ed Younis Justin Kalloor John Kubiatowicz Costin Iancu 16 9 0 09 Jun 2023
Reduction of finite sampling noise in quantum neural networks D. Kreplin Marco Roth 26 16 0 02 Jun 2023
Trainability barriers and opportunities in quantum generative modeling Manuel S. Rudolph S. Lerch Supanut Thanasilp Oriel Kiss S. Vallecorsa Michele Grossi Zoë Holmes 51 25 0 04 May 2023
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients Marco Wiedmann Marc Hölle Maniraman Periyasamy Nico Meyer Christian Ufrecht Daniel D. Scherer Axel Plinge Christopher Mutschler 73 18 0 27 Apr 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
On the universality of $S_n$ -equivariant $k$ -body gates S. Kazi Martín Larocca M. Cerezo 43 19 0 01 Mar 2023
Effects of noise on the overparametrization of quantum neural networks Diego García-Martín Martín Larocca M. Cerezo 27 17 0 10 Feb 2023
Fourier series weight in quantum machine learning Parfait Atchade-Adelomou Kent Larson 22 0 0 31 Jan 2023
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning R. Heese Thore Gerlach Sascha Mucke Sabine Muller Matthias Jakobs Nico Piatkowski 24 18 0 22 Jan 2023
The quantum cost function concentration dependency on the parametrization expressivity Lucas Friedrich Jonas Maziero 35 14 0 17 Jan 2023
Restricting to the chip architecture maintains the quantum neural network accuracy Lucas Friedrich Jonas Maziero 32 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 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 13 33 0 22 Dec 2022
SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture Han Zheng Christopher Kang Gokul Subramanian Ravi Hanrui Wang Kanav Setia Frederic T. Chong Junyu Liu 19 11 0 23 Nov 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
Theory for Equivariant Quantum Neural Networks Quynh T. Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo 37 88 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
A kernel-based quantum random forest for improved classification Maiyuren Srikumar C. Hill Lloyd C. L. Hollenberg 22 13 0 05 Oct 2022
Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning Francesco Di Marcantonio Massimiliano Incudini Davide Tezza Michele Grossi 58 13 0 30 Jun 2022
Variational Quantum Approximate Support Vector Machine with Inference Transfer Siheon Park D. Park J. Rhee 19 26 0 29 Jun 2022
Bandwidth Enables Generalization in Quantum Kernel Models Abdulkadir Canatar E. Peters C. Pehlevan Stefan M. Wild Ruslan Shaydulin 31 42 0 14 Jun 2022
Mitigating barren plateaus of variational quantum eigensolvers Xia Liu Geng-yang Liu Jiaxin Huang Hao-Kai Zhang Xin Wang 31 40 0 26 May 2022
Avoiding Barren Plateaus with Classical Deep Neural Networks Lucas Friedrich Jonas Maziero 17 41 0 26 May 2022
Estimating the randomness of quantum circuit ensembles up to 50 qubits Minzhao Liu Junyu Liu Yuri Alexeev Liang Jiang 21 8 0 19 May 2022
Evolution strategies: Application in hybrid quantum-classical neural networks Lucas Friedrich Jonas Maziero 21 8 0 17 May 2022
Fundamental limitations on optimization in variational quantum algorithms Hao-Kai Zhang Chengkai Zhu Geng-yang Liu Xin Wang 14 4 0 10 May 2022
LAWS: Look Around and Warm-Start Natural Gradient Descent for Quantum Neural Networks Zeyi Tao Jindi Wu Qi Xia Qun Li 25 9 0 05 May 2022
Group-Invariant Quantum Machine Learning Martín Larocca F. Sauvage Faris M. Sbahi Guillaume Verdon Patrick J. Coles M. Cerezo AI4CE 16 117 0 04 May 2022
Dynamical simulation via quantum machine learning with provable generalization Joe Gibbs Zoë Holmes Matthias C. Caro Nic Ezzell Hsin-Yuan Huang L. Cincio A. Sornborger Patrick J. Coles AI4CE 18 43 0 21 Apr 2022
Analytic theory for the dynamics of wide quantum neural networks Junyu Liu K. Najafi Kunal Sharma F. Tacchino Liang Jiang Antonio Mezzacapo 27 52 0 30 Mar 2022
Towards Efficient Ansatz Architecture for Variational Quantum Algorithms Anbang Wu Gushu Li Yuke Wang Boyuan Feng Yufei Ding Yuan Xie 14 9 0 26 Nov 2021
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 38 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 20 11 0 08 Oct 2021
Theory of overparametrization in quantum neural networks Martín Larocca Nathan Ju Diego García-Martín Patrick J. Coles M. Cerezo 37 188 0 23 Sep 2021
Entangled Datasets for Quantum Machine Learning Louis Schatzki A. Arrasmith Patrick J. Coles M. Cerezo 19 58 0 08 Sep 2021