L. Kim

Artificial Intelligence · with Hur · 2021

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Atomic and Molecular Physics, and Optics — 12 citations into it

Whom L. Kim trusts overall

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

1. Maria Schuld
2. Yurii E. Nesterov
3. John Preskill
4. Seth Lloyd
5. Ryan Larose
6. Daniel George
7. Ville Bergholm
8. Vittorio Giovannetti
9. Nathan Killoran
10. Iris Cong

Papers from L. Kim's perspective

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

1. Gradient-based learning applied to document recognition
2. Quantum Machine Learning in Feature Hilbert Spaces. (Physical Review Letters)
3. Evaluating analytic gradients on quantum hardware (Physical Review A)
4. Quantum circuit learning (Physical Review A)
5. Hierarchical quantum classifiers (npj Quantum Information)
6. Deep Learning
7. Quantum Computing in the NISQ era and beyond (Quantum)
8. GENERATIVE ADVERSARIAL NETS
9. PennyLane: Automatic differentiation of hybrid quantum-classical computations (arXiv.org)
10. Quantum principal component analysis (Nature Physics)

Their papers

• Quantum convolutional neural network for classical data classification (2021) — 385 citations