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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Title
Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets Kunal Sharma M. Cerezo Zoë Holmes L. Cincio A. Sornborger Patrick J. Coles 11 48 0 09 Jul 2020
Layerwise learning for quantum neural networks Andrea Skolik Jarrod R. McClean Masoud Mohseni Patrick van der Smagt Martin Leib 15 283 0 26 Jun 2020
Variational Quantum Singular Value Decomposition Xin Wang Zhixin Song Youle Wang DRL 18 64 0 03 Jun 2020
The prospects of quantum computing in computational molecular biology C. Outeiral M. Strahm Jiye Shi Garrett M. Morris S. Benjamin Charlotte M. Deane 37 177 0 26 May 2020
Trainability of Dissipative Perceptron-Based Quantum Neural Networks Kunal Sharma M. Cerezo L. Cincio Patrick J. Coles GNN 19 149 0 26 May 2020
Variational Quantum Eigensolver for Frustrated Quantum Systems Alexey Uvarov Jacob Biamonte D. Yudin 8 52 0 01 May 2020
Robust data encodings for quantum classifiers Ryan Larose Brian Coyle 24 238 0 03 Mar 2020
Computer-inspired Quantum Experiments Mario Krenn Manuel Erhard A. Zeilinger 27 73 0 23 Feb 2020
Policy Gradient based Quantum Approximate Optimization Algorithm Jiahao Yao Marin Bukov Lin Lin 11 64 0 04 Feb 2020
Preparation of ordered states in ultra-cold gases using Bayesian optimization R. Mukherjee F. Sauvage Harry Xie R. Loew Florian Mintert 10 19 0 10 Jan 2020
Cost Function Dependent Barren Plateaus in Shallow Parametrized Quantum Circuits M. Cerezo A. Sone T. Volkoff L. Cincio Patrick J. Coles 18 124 0 02 Jan 2020
A Domain-agnostic, Noise-resistant, Hardware-efficient Evolutionary Variational Quantum Eigensolver Arthur G. Rattew Shaohan Hu Marco Pistoia Richard Chen Stephen P Wood 11 101 0 21 Oct 2019
Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm Guillaume Verdon Jacob A. Marks Sasha Nanda Stefan Leichenauer Jack Hidary DRL 14 98 0 04 Oct 2019
Quantum Graph Neural Networks Guillaume Verdon Trevor McCourt Enxhell Luzhnica Vikas Singh Stefan Leichenauer Jack Hidary GNN 21 105 0 26 Sep 2019
Information Scrambling in Quantum Neural Networks Huitao Shen Pengfei Zhang Yi-Zhuang You H. Zhai GNN 9 46 0 26 Sep 2019
Quantum Natural Gradient J. Stokes J. Izaac N. Killoran Giuseppe Carleo 15 400 0 04 Sep 2019
Optimizing quantum heuristics with meta-learning M. Wilson Rachel Stromswold Filip Wudarski Stuart Hadfield N. Tubman E. Rieffel 9 74 0 08 Aug 2019
Reachability Deficits in Quantum Approximate Optimization V. Akshay H. Philathong Mauro E. S. Morales J. Biamonte 8 130 0 26 Jun 2019
Parameterized quantum circuits as machine learning models Marcello Benedetti Erika Lloyd Stefan H. Sack Mattia Fiorentini 27 869 0 18 Jun 2019
Generative training of quantum Boltzmann machines with hidden units N. Wiebe Leonard Wossnig 14 35 0 23 May 2019
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine Brian Coyle Daniel Mills V. Danos E. Kashefi 27 155 0 03 Apr 2019
Efficient Learning for Deep Quantum Neural Networks Kerstin Beer Dmytro Bondarenko Terry Farrelly T. Osborne Robert Salzmann Ramona Wolf 13 546 0 27 Feb 2019
Adversarial quantum circuit learning for pure state approximation Marcello Benedetti Edward Grant Leonard Wossnig Simone Severini 14 74 0 01 Jun 2018
Quantum classification of the MNIST dataset with Slow Feature Analysis Iordanis Kerenidis Alessandro Luongo 11 33 0 22 May 2018
Universal discriminative quantum neural networks Hongxiang Chen Leonard Wossnig Simone Severini Hartmut Neven Masoud Mohseni 14 80 0 22 May 2018
Towards Quantum Machine Learning with Tensor Networks W. Huggins P. Patil K. B. Whaley E. Stoudenmire 14 341 0 30 Mar 2018