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Nicola Pancotti
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2020 – today
- 2023
- [c3]Alexander M. Dalzell, Nicola Pancotti, Earl T. Campbell, Fernando G. S. L. Brandão:
Mind the Gap: Achieving a Super-Grover Quantum Speedup by Jumping to the End. STOC 2023: 1131-1144 - [i4]Nicola Pancotti, Johnnie Gray:
One-step replica symmetry breaking in the language of tensor networks. CoRR abs/2306.15004 (2023) - 2020
- [j2]Ivan Glasser
, Nicola Pancotti
From Probabilistic Graphical Models to Generalized Tensor Networks for Supervised Learning. IEEE Access 8: 68169-68182 (2020)
2010 – 2019
- 2019
- [c2]Ivan Glasser, Ryan Sweke, Nicola Pancotti, Jens Eisert, J. Ignacio Cirac:
Expressive power of tensor-network factorizations for probabilistic modeling. NeurIPS 2019: 1496-1508 - [i3]Ivan Glasser, Ryan Sweke, Nicola Pancotti, Jens Eisert, J. Ignacio Cirac:
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning. CoRR abs/1907.03741 (2019) - 2018
- [i2]Ivan Glasser, Nicola Pancotti, J. Ignacio Cirac:
Supervised learning with generalized tensor networks. CoRR abs/1806.05964 (2018) - 2017
- [j1]Jacob D. Biamonte
Quantum machine learning. Nat. 549(7671): 195-202 (2017) - 2016
- [c1]Leonardo Banchi, Nicola Pancotti, Sougato Bose:
Supervised quantum gate "teaching" for quantum hardware design. ESANN 2016 - [i1]Leonardo Banchi, Nicola Pancotti, Sougato Bose:
Supervised quantum gate "teaching" for quantum hardware design. CoRR abs/1607.06146 (2016)
Coauthor Index
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