M. Cerezo
Artificial Intelligence · 2019–2024
A researcher in the Science corpus: 10 papers; trusts 74 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 374 citations into it; #12,197 of 35,345 by trust here, #8,525 by citations
- Atomic and Molecular Physics, and Optics — 211 citations into it; #4,543 of 7,135 by trust here, #4,526 by citations
- Computational Theory and Mathematics — 52 citations into it
- Electrical and Electronic Engineering — 33 citations into it; #16,394 of 16,539 by trust here, #11,313 by citations
- Statistical and Nonlinear Physics — 23 citations into it
- Statistics and Probability — 14 citations into it
Whom M. Cerezo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Maria Schuld
- Jarrod R. McClean
- Edward Farhi
- John Preskill
- Aram Wettroth Harrow
- Suguru Endo
- Ying Li
- Hsin-Yuan Huang
- Kristan Temme
- Jonathan Romero
Who trusts M. Cerezo overall
- Martín Larocca
- Piotr Czarnik
- Patrick J. Coles
- Samson Wang
- Zoe Holmes
- Arthur Pesah
- Eric R. Anschuetz
- Tak Hur
- D. Fedorov
- Lukasz Cincio
Papers from M. Cerezo's perspective
Ordered by how strongly the researchers M. Cerezo trusts endorse each paper. Same corpus, a different order for every researcher.
- Quantum Computation and Quantum Information
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- A Quantum Approximate Optimization Algorithm
- Quantum Computation and Quantum Information: Bibliography
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- and s
- A variational eigenvalue solver on a photonic quantum processor (Nature Communications)
- I and J
- Quantum Computing in the NISQ era and beyond (Quantum)
Their papers
- Variational quantum algorithms (2020) — 3,982 citations
- Cost function dependent barren plateaus in shallow parametrized quantum circuits (2021) — 1,279 citations
- Barren plateaus in variational quantum computing (2024) — 550 citations
- Challenges and opportunities in quantum machine learning (2022) — 804 citations
- Generalization in quantum machine learning from few training data (2021) — 559 citations
- Diagnosing Barren Plateaus with Tools from Quantum Optimal Control (2021) — 300 citations
- Connecting ansatz expressibility to gradient magnitudes and barren plateaus (2021) — 650 citations
- Noise-induced barren plateaus in variational quantum algorithms (2020) — 964 citations
- Absence of Barren Plateaus in Quantum Convolutional Neural Networks (2020) — 389 citations
- Variational Quantum Linear Solver (2019) — 377 citations