Layerwise learning for quantum neural networks

26 June 2020

Andrea Skolik

Jarrod R. McClean

Masoud Mohseni

Patrick van der Smagt

Martin Leib

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Papers citing "Layerwise learning for quantum neural networks"

50 / 73 papers shown

Title
Enhancing Circuit Trainability with Selective Gate Activation Strategy Jeihee Cho Junyong Lee Daniel Justice Shiho Kim 106 0 0 17 Mar 2025
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits Kaining Zhang Liu Liu Min-hsiu Hsieh Dacheng Tao 141 63 0 20 Feb 2025
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization Michael Kolle Felix Topp Thomy Phan Philipp Altmann Jonas Nusslein Claudia Linnhoff-Popien AI4CE 137 5 0 03 Jan 2025
Quantum Circuit Training with Growth-Based Architectures Callum Duffy Smit Chaudhary Gergana V. Velikova 124 0 0 25 Nov 2024
Expressivity of deterministic quantum computation with one qubit Yujin Kim Daniel K. Park 60 0 0 05 Nov 2024
A Universal Quantum Computer From Relativistic Motion Philip A. LeMaitre T. Rick Perche Marius Krumm Hans J. Briegel 94 0 0 31 Oct 2024
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey Bikram Khanal Pablo Rivas Arun Sanjel Korn Sooksatra Ernesto Quevedo Alejandro Rodriguez 77 2 0 11 Sep 2024
Bee-yond the Plateau: Training QNNs with Swarm Algorithms Rubén Darío Guerrero 44 0 0 16 Aug 2024
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks Andrea Ceschini Francesco Mauro Francesca De Falco A. Sebastianelli A. Verdone A. Rosato Bertrand Le Saux Massimo Panella Paolo Gamba Silvia Liberata Ullo GNN AI4CE 87 1 0 12 Aug 2024
Quantum-secure multiparty deep learning Kfir Sulimany S. Vadlamani R. Hamerly Prahlad Iyengar Dirk Englund 63 6 0 10 Aug 2024
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey Jack Cunningham Jun Zhuang 101 5 0 25 Jul 2024
Reinforcement learning-based architecture search for quantum machine learning Frederic Rapp D. Kreplin Marco F. Huber M. Roth AI4CE 67 5 0 04 Jun 2024
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning Michael Kölle Timo Witter Tobias Rohe Gerhard Stenzel Philipp Altmann Thomas Gabor 57 3 0 20 May 2024
Quantum Neural Networks for Solving Power System Transient Simulation Problem Mohammadreza Soltaninia Junpeng Zhan 85 1 0 19 May 2024
Quantum neural network with ensemble learning to mitigate barren plateaus and cost function concentration Lucas Friedrich Jonas Maziero 96 4 0 08 Feb 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
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
Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars Akash Sinha A. Macaluso Matthias Klusch 82 6 0 20 Nov 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
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
Applying QNLP to sentiment analysis in finance Jonas Stein Ivo Christ Nico Kraus M. Mansky Robert Muller Claudia Linnhoff-Popien 129 26 0 20 Jul 2023
Post-variational quantum neural networks Po-Wei Huang Patrick Rebentrost 60 4 0 20 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 59 25 0 03 Jul 2023
Reduction of finite sampling noise in quantum neural networks D. Kreplin Marco Roth 86 16 0 02 Jun 2023
The quantum cost function concentration dependency on the parametrization expressivity Lucas Friedrich Jonas Maziero 70 14 0 17 Jan 2023
Restricting to the chip architecture maintains the quantum neural network accuracy Lucas Friedrich Jonas Maziero 68 3 0 29 Dec 2022
QuickNets: Saving Training and Preventing Overconfidence in Early-Exit Neural Architectures Devdhar Patel H. Siegelmann OnRL 78 1 0 25 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 96 10 0 22 Dec 2022
An exponentially-growing family of universal quantum circuits Mohammad Kordzanganeh P. Sekatski Leonid Fedichkin A. Melnikov 101 20 0 01 Dec 2022
Quantum Neural Networks for a Supply Chain Logistics Application Randall Correll Sean J. Weinberg F. Sanches Takanori Ide Takafumi Suzuki GNN 64 13 0 30 Nov 2022
An Advantage Using Feature Selection with a Quantum Annealer Andrew Vlasic Hunter Grant Salvatore Certo 49 5 0 17 Nov 2022
An Invitation to Distributed Quantum Neural Networks Lirande Pira C. Ferrie 68 18 0 14 Nov 2022
Faster variational quantum algorithms with quantum kernel-based surrogate models Alistair W. R. Smith A. Paige Myungshik S. Kim 85 4 0 02 Nov 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 109 92 0 18 Oct 2022
Symmetric Pruning in Quantum Neural Networks Xinbiao Wang Junyu Liu Tongliang Liu Yong Luo Yuxuan Du Dacheng Tao 75 25 0 30 Aug 2022
Bayesian Learning of Parameterised Quantum Circuits Samuel Duffield Marcello Benedetti Matthias Rosenkranz 60 11 0 15 Jun 2022
Mitigating barren plateaus of variational quantum eigensolvers Xia Liu Geng-yang Liu Jiaxin Huang Hao-Kai Zhang Xin Wang 69 40 0 26 May 2022
Avoiding Barren Plateaus with Classical Deep Neural Networks Lucas Friedrich Jonas Maziero 57 42 0 26 May 2022
Evolution strategies: Application in hybrid quantum-classical neural networks Lucas Friedrich Jonas Maziero 57 9 0 17 May 2022
Fundamental limitations on optimization in variational quantum algorithms Hao-Kai Zhang Chengkai Zhu Geng-yang Liu Xin Wang 33 4 0 10 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 153 38 0 10 May 2022
Quantum Extremal Learning Savvas Varsamopoulos E. Philip H. Vlijmen Sairam Menon Ann Vos N. Dyubankova B. Torfs Anthony Rowe V. Elfving 52 6 0 05 May 2022
On Circuit Depth Scaling For Quantum Approximate Optimization V. Akshay H. Philathong E. Campos D. Rabinovich Igor Zacharov Xiao-Ming Zhang J. Biamonte 31 15 0 03 May 2022
Compositional optimization of quantum circuits for quantum kernels of support vector machines E. Torabian R. Krems 50 10 0 25 Mar 2022
Uncovering Instabilities in Variational-Quantum Deep Q-Networks Maja Franz Lucas Wolf Maniraman Periyasamy Christian Ufrecht Daniel D. Scherer Axel Plinge Christopher Mutschler Wolfgang Mauerer 121 30 0 10 Feb 2022
Systematic Literature Review: Quantum Machine Learning and its applications David Peral García Juan Cruz-Benito Francisco José García-Penalvo 81 133 0 11 Jan 2022
A Case For Noisy Shallow Gate-Based Circuits In Quantum Machine Learning Patrick Selig Niall Murphy Ashwin Sundareswaran R D. Redmond Simon Caton 26 3 0 13 Dec 2021
Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training Anbang Wu Gushu Li Yufei Ding Yuan Xie 40 4 0 25 Nov 2021
Policy Gradient Approach to Compilation of Variational Quantum Circuits David A. Herrera-Martí 57 3 0 19 Nov 2021
Recent advances for quantum classifiers Weikang Li D. Deng AAML 87 87 0 30 Aug 2021