Johannes Jakob Meyer
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it
Whom Johannes Jakob Meyer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Johannes Jakob Meyer's perspective
Ordered by how strongly the researchers Johannes Jakob Meyer trusts endorse each paper. Same corpus, a different order for every researcher.
- Quantum Computation and Quantum Information: Bibliography
- Classification with Quantum Neural Networks on Near Term Processors
- Supervised learning with quantum-enhanced feature spaces (Nature)
- Quantum circuit learning (Physical Review A)
- Quantum Machine Learning in Feature Hilbert Spaces. (Physical Review Letters)
- The theory of variational hybrid quantum-classical algorithms
- Circuit-centric quantum classifiers (Physical Review A)
- Barren plateaus in quantum neural network training landscapes (Nature Communications)
- Quantum Natural Gradient (Quantum)
- PennyLane: Automatic differentiation of hybrid quantum-classical computations (arXiv.org)