Nicola Pancotti
Artificial Intelligence · with Biamonte · 2016
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it
Whom Nicola Pancotti trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Nicola Pancotti's perspective
Ordered by how strongly the researchers Nicola Pancotti trusts endorse each paper. Same corpus, a different order for every researcher.
- Quantum Computation and Quantum Information: Bibliography
- An exact mapping between the Variational Renormalization Group and Deep Learning
- A Quantum Approximate Optimization Algorithm
- Machine learning phases of matter (Nature Physics)
- Quantum random access memory. (Physical Review Letters)
- TensorFlow: A system for large-scale machine learning
- Superconducting quantum circuits at the surface code threshold for fault tolerance (Nature)
- An introduction to quantum machine learning (Contemporary physics (Print))
- Quantum Metropolis sampling (Nature)
- The Nature of Statistical Learning Theory
Their papers
- Quantum machine learning (2016) — 2,780 citations