Theory of overparametrization in quantum neural networks

23 September 2021

Papers citing "Theory of overparametrization in quantum neural networks"

25 / 75 papers shown

Title
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning Di Luo Jiayu Shen Rumen Dangovski Marin Soljacic 10 5 0 02 Nov 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 27 83 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 25 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 26 73 0 14 Oct 2022
Symmetric Pruning in Quantum Neural Networks Xinbiao Wang Junyu Liu Tongliang Liu Yong Luo Yuxuan Du Dacheng Tao 21 24 0 30 Aug 2022
Exponential concentration in quantum kernel methods Supanut Thanasilp Samson Wang M. Cerezo Zoë Holmes 11 75 0 23 Aug 2022
Federated Learning with Quantum Secure Aggregation Yichi Zhang Chao Zhang Cai Zhang Lixin Fan B. Zeng Qiang Yang FedML 11 23 0 09 Jul 2022
Laziness, Barren Plateau, and Noise in Machine Learning Junyu Liu Zexi Lin Liang Jiang 17 21 0 19 Jun 2022
A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers Xuchen You Shouvanik Chakrabarti Xiaodi Wu 50 34 0 25 May 2022
Conditional Born machine for Monte Carlo event generation Oriel Kiss Michele Grossi E. Kajomovitz S. Vallecorsa 33 14 0 16 May 2022
Hybrid quantum ResNet for car classification and its hyperparameter optimization Asel Sagingalieva Mohammad Kordzanganeh Andrii Kurkin Artem Melnikov Daniil Kuhmistrov M. Perelshtein A. Melnikov Andrea Skolik David Von Dollen 50 35 0 10 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
Analytic theory for the dynamics of wide quantum neural networks Junyu Liu K. Najafi Kunal Sharma F. Tacchino Liang Jiang Antonio Mezzacapo 6 52 0 30 Mar 2022
Quantum neural networks force fields generation Oriel Kiss F. Tacchino S. Vallecorsa I. Tavernelli AI4CE 14 19 0 09 Mar 2022
Geometric Regularization from Overparameterization Nicholas J. Teague 17 1 0 18 Feb 2022
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 8 353 0 09 Nov 2021
Quantum tangent kernel Norihito Shirai K. Kubo K. Mitarai Keisuke Fujii 25 24 0 04 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
Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time-Series Annie E. Paine V. Elfving Oleksandr Kyriienko 27 22 0 06 Aug 2021
Entanglement Diagnostics for Efficient Quantum Computation Joonho Kim Yaron Oz 14 10 0 24 Feb 2021
Long-time simulations with high fidelity on quantum hardware Joe Gibbs Kaitlin Gili Zoë Holmes Benjamin Commeau A. Arrasmith L. Cincio Patrick J. Coles A. Sornborger 50 53 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 101 390 0 21 Jan 2021
Information-theoretic bounds on quantum advantage in machine learning Hsin-Yuan Huang R. Kueng J. Preskill 63 213 0 07 Jan 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 118 420 0 06 Jan 2021
Noise-Induced Barren Plateaus in Variational Quantum Algorithms Samson Wang Enrico Fontana M. Cerezo Kunal Sharma A. Sone L. Cincio Patrick J. Coles 119 652 0 28 Jul 2020