Giacomo De Palma

According to our database, Giacomo De Palma authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Trained quantum neural networks are Gaussian processes.

Filippo Girardi, Giacomo De Palma

CoRR, 2024

2021

The Quantum Wasserstein Distance of Order 1.

Giacomo De Palma, Milad Marvian, Dario Trevisan, Seth Lloyd

IEEE Trans. Inf. Theory, 2021

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

Grecia Castelazo, Quynh The Nguyen, Giacomo De Palma, Dirk R. Englund, Seth Lloyd, Bobak Toussi Kiani

CoRR, 2021

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

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

CoRR, 2021

Adversarial Robustness Guarantees for Random Deep Neural Networks.

Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Quantum advantage for differential equation analysis.

Bobak Toussi Kiani, Giacomo De Palma, Dirk R. Englund, William M. Kaminsky, Milad Marvian, Seth Lloyd

CoRR, 2020

2019

New Lower Bounds to the Output Entropy of Multi-Mode Quantum Gaussian Channels.

Giacomo De Palma

IEEE Trans. Inf. Theory, 2019

Random deep neural networks are biased towards simple functions.

Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Deep neural networks are biased towards simple functions.

Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd

CoRR, 2018

The Entropy Power Inequality with quantum conditioning.

Giacomo De Palma

CoRR, 2018

Gaussian optimizers for entropic inequalities in quantum information.

Giacomo De Palma, Dario Trevisan, Vittorio Giovannetti, Luigi Ambrosio

CoRR, 2018

The conditional Entropy Power Inequality for quantum additive noise channels.

Giacomo De Palma, Stefan Huber

CoRR, 2018

2017

Gaussian States Minimize the Output Entropy of the One-Mode Quantum Attenuator.

Giacomo De Palma, Dario Trevisan, Vittorio Giovannetti

IEEE Trans. Inf. Theory, 2017

Uncertainty relations with quantum memory for the Wehrl entropy.

Giacomo De Palma

CoRR, 2017

The Entropy Power Inequality with quantum memory.

Giacomo De Palma, Dario Trevisan

CoRR, 2017

2016

Passive States Optimize the Output of Bosonic Gaussian Quantum Channels.

Giacomo De Palma, Dario Trevisan, Vittorio Giovannetti

IEEE Trans. Inf. Theory, 2016

Gaussian states minimize the output entropy of one-mode quantum Gaussian channels.

Giacomo De Palma, Dario Trevisan, Vittorio Giovannetti

CoRR, 2016