Nicola Pancotti

According to our database, Nicola Pancotti authored at least 9 papers between 2016 and 2026.

Collaborative distances:

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

2026

QCalEval: Benchmarking Vision-Language Models for Quantum Calibration Plot Understanding.

Shuxiang Cao, Zijian Zhang, Abhishek Agarwal, Grace Bratrud, Niyaz R. Beysengulov, Daniel C. Cole, Alejandro Gómez Frieiro, Elena O. Glen, Hao Hsu, Gang Huang, Raymond Jow, Greshma Shaji, Tom Lubowe, Ligeng Zhu, Luis Mantilla Calderón, Nicola Pancotti, Joel Pendleton, Brandon Severin, Charles Etienne Staub, Sara Sussman, Antti Vepsäläinen, Neel Rajeshbhai Vora, Yilun Xu, Varinia Bernales, Daniel Bowring, Elica Kyoseva, Ivan Rungger, Giulia Semeghini, Sam Stanwyck, Timothy Costa, Alán Aspuru-Guzik, Krysta Svore

CoRR, April, 2026

2023

One-step replica symmetry breaking in the language of tensor networks.

Nicola Pancotti, Johnnie Gray

CoRR, 2023

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

Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

2020

From Probabilistic Graphical Models to Generalized Tensor Networks for Supervised Learning.

Ivan Glasser, Nicola Pancotti, J. Ignacio Cirac

IEEE Access, 2020

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

Expressive power of tensor-network factorizations for probabilistic modeling.

Ivan Glasser, Ryan Sweke, Nicola Pancotti, Jens Eisert, J. Ignacio Cirac

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

2018

Supervised learning with generalized tensor networks.

Ivan Glasser, Nicola Pancotti, J. Ignacio Cirac

CoRR, 2018

2017

Quantum machine learning.

Jacob D. Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, Seth Lloyd

Nat., 2017

2016

Supervised quantum gate "teaching" for quantum hardware design.

Leonardo Banchi, Nicola Pancotti, Sougato Bose

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016