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ORCIDGiacomo De Palma
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2020 – today
- 2024
[j5]Francesco Anna Mele
, Giacomo De Palma, Marco Fanizza, Vittorio Giovannetti, Ludovico Lami:
Optical Fibers With Memory Effects and Their Quantum Communication Capacities. IEEE Trans. Inf. Theory 70(12): 8844-8869 (2024)- [i15]Filippo Girardi, Giacomo De Palma:
Trained quantum neural networks are Gaussian processes. CoRR abs/2402.08726 (2024) - 2021
- [j4]Giacomo De Palma, Milad Marvian, Dario Trevisan, Seth Lloyd:
The Quantum Wasserstein Distance of Order 1. IEEE Trans. Inf. Theory 67(10): 6627-6643 (2021) - [c2]Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd:
Adversarial Robustness Guarantees for Random Deep Neural Networks. ICML 2021: 2522-2534 - [i14]Bobak Toussi Kiani, Giacomo De Palma, Milad Marvian, Zi-Wen Liu, Seth Lloyd:
Quantum Earth Mover's Distance: A New Approach to Learning Quantum Data. CoRR abs/2101.03037 (2021) - [i13]Grecia Castelazo, Quynh The Nguyen, Giacomo De Palma, Dirk R. Englund, Seth Lloyd, Bobak Toussi Kiani:
Quantum algorithms for group convolution, cross-correlation, and equivariant transformations. CoRR abs/2109.11330 (2021) - 2020
- [i12]Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd:
Adversarial robustness guarantees for random deep neural networks. CoRR abs/2004.05923 (2020) - [i11]Giacomo De Palma, Milad Marvian, Dario Trevisan, Seth Lloyd:
The quantum Wasserstein distance of order 1. CoRR abs/2009.04469 (2020) - [i10]Bobak Toussi Kiani, Giacomo De Palma, Dirk R. Englund, William M. Kaminsky, Milad Marvian, Seth Lloyd:
Quantum advantage for differential equation analysis. CoRR abs/2010.15776 (2020)
2010 – 2019
- 2019
- [j3]Giacomo De Palma:
New Lower Bounds to the Output Entropy of Multi-Mode Quantum Gaussian Channels. IEEE Trans. Inf. Theory 65(9): 5959-5968 (2019) - [c1]Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd:
Random deep neural networks are biased towards simple functions. NeurIPS 2019: 1962-1974 - 2018
- [i9]Giacomo De Palma, Stefan Huber:
The conditional Entropy Power Inequality for quantum additive noise channels. CoRR abs/1803.00470 (2018) - [i8]Giacomo De Palma, Dario Trevisan, Vittorio Giovannetti, Luigi Ambrosio:
Gaussian optimizers for entropic inequalities in quantum information. CoRR abs/1803.02360 (2018) - [i7]Giacomo De Palma:
New lower bounds to the output entropy of multi-mode quantum Gaussian channels. CoRR abs/1805.12469 (2018) - [i6]Giacomo De Palma:
The Entropy Power Inequality with quantum conditioning. CoRR abs/1808.08231 (2018) - [i5]Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd:
Deep neural networks are biased towards simple functions. CoRR abs/1812.10156 (2018) - 2017
- [j2]Giacomo De Palma, Dario Trevisan, Vittorio Giovannetti:
Gaussian States Minimize the Output Entropy of the One-Mode Quantum Attenuator. IEEE Trans. Inf. Theory 63(1): 728-737 (2017) - [i4]Giacomo De Palma, Dario Trevisan:
The Entropy Power Inequality with quantum memory. CoRR abs/1706.00440 (2017) - [i3]Giacomo De Palma:
Uncertainty relations with quantum memory for the Wehrl entropy. CoRR abs/1709.04921 (2017) - 2016
- [j1]Giacomo De Palma, Dario Trevisan, Vittorio Giovannetti:
Passive States Optimize the Output of Bosonic Gaussian Quantum Channels. IEEE Trans. Inf. Theory 62(5): 2895-2906 (2016) - [i2]Giacomo De Palma, Dario Trevisan, Vittorio Giovannetti:
Gaussian States Minimize the Output Entropy of the One-Mode Quantum Attenuator. CoRR abs/1605.00441 (2016) - [i1]Giacomo De Palma, Dario Trevisan, Vittorio Giovannetti:
Gaussian states minimize the output entropy of one-mode quantum Gaussian channels. CoRR abs/1610.09970 (2016)
Coauthor Index
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