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Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?


Sep 02, 2021
Samson Wang, Piotr Czarnik, Andrew Arrasmith, M. Cerezo, Lukasz Cincio, Patrick J. Coles

* 13+29 pages, 5+3 figures 

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A semi-agnostic ansatz with variable structure for quantum machine learning


Mar 11, 2021
M. Bilkis, M. Cerezo, Guillaume Verdon, Patrick J. Coles, Lukasz Cincio

* 15 pages, 12 figures, 1 table 

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Long-time simulations with high fidelity on quantum hardware


Feb 08, 2021
Joe Gibbs, Kaitlin Gili, Zoë Holmes, Benjamin Commeau, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles, Andrew Sornborger

* Main text: 12 pages, 8 Figures. Appendices: 8 pages, 1 Figure 

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Variational Quantum Algorithms


Dec 16, 2020
M. Cerezo, Andrew Arrasmith, Ryan Babbush, Simon C. Benjamin, Suguru Endo, Keisuke Fujii, Jarrod R. McClean, Kosuke Mitarai, Xiao Yuan, Lukasz Cincio, Patrick J. Coles

* Review Article. 29 pages, 6 figures 

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Effect of barren plateaus on gradient-free optimization


Nov 24, 2020
Andrew Arrasmith, M. Cerezo, Piotr Czarnik, Lukasz Cincio, Patrick J. Coles

* 9 pages, 2 figures 

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Noise-Induced Barren Plateaus in Variational Quantum Algorithms


Jul 28, 2020
Samson Wang, Enrico Fontana, M. Cerezo, Kunal Sharma, Akira Sone, Lukasz Cincio, Patrick J. Coles

* 9+11 pages, 4+1 figures 

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Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets


Jul 09, 2020
Kunal Sharma, M. Cerezo, Zoë Holmes, Lukasz Cincio, Andrew Sornborger, Patrick J. Coles

* 7+13 pages, 4+2 figures 

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Trainability of Dissipative Perceptron-Based Quantum Neural Networks


May 26, 2020
Kunal Sharma, M. Cerezo, Lukasz Cincio, Patrick J. Coles

* 5 + 18 pages, 3 figures 

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Cost-Function-Dependent Barren Plateaus in Shallow Quantum Neural Networks


Feb 04, 2020
M. Cerezo, Akira Sone, Tyler Volkoff, Lukasz Cincio, Patrick J. Coles

* 12 + 23 pages, 7 figures. Clarified presentation and generalized main result (Theorem 1) 

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Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems


Nov 25, 2019
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash

* To appear in the proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), New York, USA, February 2020 

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Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems


Nov 11, 2019
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash


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