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Nicola Pancotti
Nicola Pancotti
Quantum Research Scientist at AWS
Verified email at amazon.com
Title
Cited by
Cited by
Year
Quantum machine learning
J Biamonte, P Wittek, N Pancotti, P Rebentrost, N Wiebe, S Lloyd
Nature 549 (7671), 195-202, 2017
22772017
Neural-network quantum states, string-bond states, and chiral topological states
I Glasser, N Pancotti, M August, ID Rodriguez, JI Cirac
Physical Review X 8 (1), 011006, 2018
2362018
Expressive power of tensor-network factorizations for probabilistic modeling
I Glasser, R Sweke, N Pancotti, J Eisert, JI Cirac
Advances in Neural Information Processing Systems, 2019, 2019
792019
From probabilistic graphical models to generalized tensor networks for supervised learning
I Glasser, N Pancotti, JI Cirac
IEEE Access 8, 68169-68182, 2020
73*2020
Quantum east model: Localization, nonthermal eigenstates, and slow dynamics
N Pancotti, G Giudice, JI Cirac, JP Garrahan, MC Banuls
Physical Review X 10 (2), 021051, 2020
672020
Quantum gate learning in qubit networks: Toffoli gate without time-dependent control
L Banchi, N Pancotti, S Bose
npj Quantum Information 2 (1), 1-6, 2016
62*2016
Speed-ups to isothermality: Enhanced quantum heat engines through control of the system-bath coupling
N Pancotti, M Scandi, MT Mitchison, M Perarnau-Llobet
Physical Review X 10, 031015, 2020
43*2020
Almost conserved operators in nearly many-body localized systems
N Pancotti, M Knap, DA Huse, JI Cirac, MC Banuls
Physical Review B 97 (9), 094206, 2018
152018
Kinetically constrained quantum dynamics in a circuit-QED transmon wire
RJV Tortora, N Pancotti, J Marino
arXiv preprint arXiv:2112.08387, 2021
5*2021
A highly efficient tensor network algorithm for multi-asset Fourier options pricing
M Kastoryano, N Pancotti
arXiv preprint arXiv:2203.02804, 2022
2022
Methods for Quantum Dynamics, Localization and Quantum MachineLearning
N Pancotti
Technische Universität München, 2020
2020
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Articles 1–11