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Lukasz Cincio

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Quantum computer-enabled receivers for optical communication

Sep 27, 2023
John Crossman, Spencer Dimitroff, Lukasz Cincio, Mohan Sarovar

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Challenges and Opportunities in Quantum Machine Learning

Mar 16, 2023
M. Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Lukasz Cincio, Patrick J. Coles

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Resource frugal optimizer for quantum machine learning

Nov 09, 2022
Charles Moussa, Max Hunter Gordon, Michal Baczyk, M. Cerezo, Lukasz Cincio, Patrick J. Coles

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Practical Black Box Hamiltonian Learning

Jun 30, 2022
Andi Gu, Lukasz Cincio, Patrick J. Coles

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Dynamical simulation via quantum machine learning with provable generalization

Apr 21, 2022
Joe Gibbs, Zoë Holmes, Matthias C. Caro, Nicholas Ezzell, Hsin-Yuan Huang, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles

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Out-of-distribution generalization for learning quantum dynamics

Apr 21, 2022
Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles, Zoë Holmes

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Covariance matrix preparation for quantum principal component analysis

Apr 07, 2022
Max Hunter Gordon, M. Cerezo, Lukasz Cincio, Patrick J. Coles

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Generalization in quantum machine learning from few training data

Nov 09, 2021
Matthias C. Caro, Hsin-Yuan Huang, M. Cerezo, Kunal Sharma, Andrew Sornborger, Lukasz Cincio, Patrick J. Coles

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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

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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

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