Jacob D. Biamonte
Artificial Intelligence · 2009–2016
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 56 citations into it; #16,568 of 35,345 by trust here, #5,252 by citations
Whom Jacob D. Biamonte trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapni
- Juan Felipe Carrasquilla
- Pankaj Mehta
- Edward Farhi
- Maria Schuld
- Isaac L. Chuang
- Vittorio Giovannetti
- Daniel Brunner
- Seth Lloyd
- Kristan Temme
Who trusts Jacob D. Biamonte overall
- Göran Wendin
- M. Cerezo
- Ryan Babbush
- Andrew J. Daley
- Sergey Bravyi
- Nathan Wiebe
- Zhang Jiang
- Markus Reiher
- Harper R. Grimsley
- John Preskill
Papers from Jacob D. Biamonte's perspective
Ordered by how strongly the researchers Jacob D. Biamonte trusts endorse each paper. Same corpus, a different order for every researcher.
- Quantum Computation and Quantum Information: Bibliography
- A Quantum Approximate Optimization Algorithm
- An exact mapping between the Variational Renormalization Group and Deep Learning
- TensorFlow: A system for large-scale machine learning
- A scheme for efficient quantum computation with linear optics (Nature)
- Machine learning phases of matter (Nature Physics)
- Quantum random access memory. (Physical Review Letters)
- Doping a Mott insulator: Physics of high-temperature superconductivity
- Modern quantum chemistry : introduction to advanced electronic structure theory
- The Nature of Statistical Learning Theory
Their papers
- Quantum machine learning (2016) — 2,780 citations
- Simulation of electronic structure Hamiltonians using quantum computers (2010) — 523 citations
- Towards quantum chemistry on a quantum computer. (2009) — 773 citations