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Joint Embedding Self-Supervised Learning in the Kernel Regime


Sep 29, 2022
Bobak T. Kiani, Randall Balestriero, Yubei Chen, Seth Lloyd, Yann LeCun

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projUNN: efficient method for training deep networks with unitary matrices


Mar 11, 2022
Bobak Kiani, Randall Balestriero, Yann Lecun, Seth Lloyd

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Quantum algorithms for group convolution, cross-correlation, and equivariant transformations


Sep 23, 2021
Grecia Castelazo, Quynh T. Nguyen, Giacomo De Palma, Dirk Englund, Seth Lloyd, Bobak T. Kiani

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A quantum algorithm for training wide and deep classical neural networks


Jul 19, 2021
Alexander Zlokapa, Hartmut Neven, Seth Lloyd

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* 10 pages + 13 page appendix, 10 figures; code available at https://github.com/quantummind/quantum-deep-neural-network 

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Quantum Earth Mover's Distance: A New Approach to Learning Quantum Data


Jan 08, 2021
Bobak Toussi Kiani, Giacomo De Palma, Milad Marvian, Zi-Wen Liu, Seth Lloyd

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Adversarial robustness guarantees for random deep neural networks


Apr 13, 2020
Giacomo De Palma, Bobak T. Kiani, Seth Lloyd

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Learning Unitaries by Gradient Descent


Feb 18, 2020
Bobak Toussi Kiani, Seth Lloyd, Reevu Maity

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