Patrick Rebentrost
Artificial Intelligence · 2008–2023
A researcher in the Science corpus: 8 papers; trusts 7 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 79 citations into it; #7,939 of 35,345 by trust here, #5,059 by citations
- Atomic and Molecular Physics, and Optics — 68 citations into it; #1,058 of 7,135 by trust here, #1,046 by citations
- Computational Theory and Mathematics — 26 citations into it
- Electrical and Electronic Engineering — 8 citations into it
- Statistical and Nonlinear Physics — 7 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Patrick Rebentrost trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Iroon Polytechniou
- Kevin P. Murphy
- Yazhen Wang
- H. Breuer
- David John Cameron MacKay
- Ethem Alpaydin
- Francesco Petruccione
- Radford M. Neal
- Vladimir Naumovich Vapni
Who trusts Patrick Rebentrost overall
- Maria Schuld
- Seogjoo J. Jang
- Vedran Dunjko
- S. Nawaz
- Seth Lloyd
- I. D. Vega
- Stephan Hoyer
- Sabyasachi Dash
- Iordanis Kerenidis
- Benedetta Mennucci
Papers from Patrick Rebentrost's perspective
Ordered by how strongly the researchers Patrick Rebentrost trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- TensorFlow: A system for large-scale machine learning
- Quantum Computation and Quantum Information
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Information Theory, Inference, and Learning Algorithms
- Gradient-based learning applied to document recognition
- Γ and B
- Long Short-Term Memory
- The Theory of Open Quantum Systems
Their papers
- Environment-assisted quantum walks in photosynthetic energy transfer. (2008) — 1,062 citations
- Challenges and opportunities in quantum optimization (2023) — 341 citations
- Quantum machine learning (2016) — 2,780 citations
- Quantum algorithms for supervised and unsupervised machine learning (2013) — 897 citations
- Quantum support vector machine for big feature and big data classification (2013) — 683 citations
- Quantum principal component analysis (2013) — 799 citations
- Simple pulses for elimination of leakage in weakly nonlinear qubits. (2009) — 731 citations
- Environment-assisted quantum transport (2008) — 758 citations