Nicolás Quesada

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 123 citations into it; #20,443 of 35,345 by trust here, #16,166 by citations
• Atomic and Molecular Physics, and Optics — 63 citations into it
• Computational Theory and Mathematics — 12 citations into it

Whom Nicolás Quesada trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Edward Farhi
2. Maria Schuld
3. Jarrod R. McClean
4. Scott Aaronson
5. Andrew Lucas
6. Samuel L. Braunstein
7. Akira Furusawa
8. Diederik P. Kingma

Who trusts Nicolás Quesada overall

1. Maria Schuld
2. Ville Bergholm
3. Andrea Mari
4. Nathan Killoran

Papers from Nicolás Quesada's perspective

Ordered by how strongly the researchers Nicolás Quesada trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Quantum Computation and Quantum Information
4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
5. Backpropagation Applied to Handwritten Zip Code Recognition
6. Neural Turing Machines
7. Learning representations by back-propagating errors
8. Variational Inference with Normalizing Flows
9. Automatic differentiation in PyTorch
10. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Their papers

• Quantum computational advantage with a programmable photonic processor (2022) — 1,104 citations
• Quantum circuits with many photons on a programmable nanophotonic chip (2021) — 562 citations
• Continuous-variable quantum neural networks (2018) — 446 citations
• Strawberry Fields: A Software Platform for Photonic Quantum Computing (2018) — 358 citations