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"

38 / 38 papers shown

Title
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits Kaining Zhang Liu Liu Min-hsiu Hsieh Dacheng Tao 62 60 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 59 5 0 03 Jan 2025
A Universal Quantum Computer From Relativistic Motion Philip A. LeMaitre T. Rick Perche Marius Krumm H. Briegel 45 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 28 2 0 11 Sep 2024
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey Jack Cunningham Jun Zhuang 36 4 0 25 Jul 2024
Reinforcement learning-based architecture search for quantum machine learning Frederic Rapp D. Kreplin Marco F. Huber M. Roth AI4CE 34 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 28 2 0 20 May 2024
Quantum Neural Networks for Solving Power System Transient Simulation Problem Mohammadreza Soltaninia Junpeng Zhan 27 0 0 19 May 2024
Quantum neural network with ensemble learning to mitigate barren plateaus and cost function concentration Lucas Friedrich Jonas Maziero 39 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 32 26 0 18 Jan 2024
The quantum cost function concentration dependency on the parametrization expressivity Lucas Friedrich Jonas Maziero 38 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
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
Quantum Neural Networks for a Supply Chain Logistics Application Randall Correll Sean J. Weinberg F. Sanches Takanori Ide Takafumi Suzuki GNN 16 9 0 30 Nov 2022
Faster variational quantum algorithms with quantum kernel-based surrogate models Alistair W. R. Smith A. Paige Myungshik S. Kim 20 4 0 02 Nov 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 39 85 0 18 Oct 2022
Bayesian Learning of Parameterised Quantum Circuits Samuel Duffield Marcello Benedetti Matthias Rosenkranz 19 11 0 15 Jun 2022
Evolution strategies: Application in hybrid quantum-classical neural networks Lucas Friedrich Jonas Maziero 21 8 0 17 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 55 36 0 10 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 14 13 0 03 May 2022
Compositional optimization of quantum circuits for quantum kernels of support vector machines E. Torabian R. Krems 11 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 30 29 0 10 Feb 2022
Systematic Literature Review: Quantum Machine Learning and its applications David Peral García Juan Cruz-Benito Francisco José García-Penalvo 35 119 0 11 Jan 2022
Recent advances for quantum classifiers Weikang Li D. Deng AAML 39 84 0 30 Aug 2021
A Leap among Quantum Computing and Quantum Neural Networks: A Survey F. V. Massoli Lucia Vadicamo Giuseppe Amato Fabrizio Falchi 25 32 0 06 Jul 2021
Training Saturation in Layerwise Quantum Approximate Optimisation E. Campos D. Rabinovich V. Akshay J. Biamonte 13 34 0 25 Jun 2021
Quantum Optimization for Training Quantum Neural Networks Yidong Liao Min-hsiu Hsieh C. Ferrie 23 16 0 31 Mar 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 58 53 0 08 Feb 2021
Learning quantum data with the quantum Earth Mover's distance B. Kiani Giacomo De Palma M. Marvian Zi-Wen Liu S. Lloyd 21 45 0 08 Jan 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 143 423 0 06 Jan 2021
Quantum Circuit Design Search Mohammad Pirhooshyaran T. Terlaky 13 37 0 07 Dec 2020
On barren plateaus and cost function locality in variational quantum algorithms Alexey Uvarov Jacob Biamonte 13 124 0 20 Nov 2020
Absence of Barren Plateaus in Quantum Convolutional Neural Networks Arthur Pesah M. Cerezo Samson Wang T. Volkoff A. Sornborger Patrick J. Coles 16 278 0 05 Nov 2020
Power of data in quantum machine learning Hsin-Yuan Huang Michael Broughton Masoud Mohseni Ryan Babbush Sergio Boixo Hartmut Neven Jarrod R. McClean 23 622 0 03 Nov 2020
Quantum circuit architecture search for variational quantum algorithms Yuxuan Du Tao Huang Shan You Min-hsiu Hsieh Dacheng Tao 44 133 0 20 Oct 2020
Variational Preparation of the Sachdev-Ye-Kitaev Thermofield Double V. P. Su 12 7 0 09 Sep 2020
Noise-Induced Barren Plateaus in Variational Quantum Algorithms Samson Wang Enrico Fontana M. Cerezo Kunal Sharma A. Sone L. Cincio Patrick J. Coles 140 655 0 28 Jul 2020
Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets Kunal Sharma M. Cerezo Zoë Holmes L. Cincio A. Sornborger Patrick J. Coles 13 48 0 09 Jul 2020