Lukasz Cincio
Artificial Intelligence · 2018–2024
A researcher in the Science corpus: 9 papers; trusts 53 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 338 citations into it; #11,032 of 35,345 by trust here, #8,365 by citations
- Atomic and Molecular Physics, and Optics — 194 citations into it; #6,847 of 7,135 by trust here, #6,080 by citations
- Computational Theory and Mathematics — 45 citations into it; #11,039 of 12,182 by trust here, #3,448 by citations
- Electrical and Electronic Engineering — 30 citations into it; #13,708 of 16,539 by trust here, #11,313 by citations
- Condensed Matter Physics — 5 citations into it
Whom Lukasz Cincio trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Edward Farhi
- Maria Schuld
- John Preskill
- Jarrod R. McClean
- Kristan Temme
- Suguru Endo
- M. Cerezo
- Hsin-Yuan Huang
- Jonathan Romero
- Rolando D. Somma
Who trusts Lukasz Cincio overall
Papers from Lukasz Cincio's perspective
Ordered by how strongly the researchers Lukasz Cincio trusts endorse each paper. Same corpus, a different order for every researcher.
- Quantum Computation and Quantum Information
- Quantum Computation and Quantum Information: Bibliography
- A Quantum Approximate Optimization Algorithm
- Quantum Machine Learning in Feature Hilbert Spaces. (Physical Review Letters)
- Quantum Computing in the NISQ era and beyond (Quantum)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- A variational eigenvalue solver on a photonic quantum processor (Nature Communications)
- Multivariate stochastic approximation using a simultaneous perturbation gradient approximation
- Supervised Learning with Tensor Networks (Neural Information Processing Systems)
- Quantum algorithm for linear systems of equations. (Physical Review Letters)
Their papers
- Variational quantum algorithms (2020) — 3,982 citations
- Error mitigation with Clifford quantum-circuit data (2020) — 310 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
- Noise-induced barren plateaus in variational quantum algorithms (2020) — 964 citations
- Variational Quantum Linear Solver (2019) — 377 citations
- Quantum-assisted quantum compiling (2018) — 413 citations