Supervised quantum gate "teaching" for quantum hardware design. - Leonardo Banchi; Nicola Pancotti; Sougato Bose (ESANN, 2016)

Quantum machine learning. - Jacob D. Biamonte; Peter Wittek; Nicola Pancotti; Patrick Rebentrost; Nathan Wiebe; Seth Lloyd (Nat., 2017)

Supervised learning with generalized tensor networks. - Ivan Glasser; Nicola Pancotti; J. Ignacio Cirac (CoRR, 2018)

Expressive power of tensor-network factorizations for probabilistic modeling. - Ivan Glasser; Ryan Sweke; Nicola Pancotti; Jens Eisert; J. Ignacio Cirac (NeurIPS, 2019)

Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning. - Ivan Glasser; Ryan Sweke; Nicola Pancotti; Jens Eisert; J. Ignacio Cirac (CoRR, 2019)

From Probabilistic Graphical Models to Generalized Tensor Networks for Supervised Learning. - Ivan Glasser; Nicola Pancotti; J. Ignacio Cirac (IEEE Access, 2020)

Mind the Gap: Achieving a Super-Grover Quantum Speedup by Jumping to the End. - Alexander M. Dalzell; Nicola Pancotti; Earl T. Campbell; Fernando G. S. L. Brandão (STOC, 2023)

One-step replica symmetry breaking in the language of tensor networks. - Nicola Pancotti; Johnnie Gray (CoRR, 2023)