Lennart Bittel

Artificial Intelligence · 2021–2024

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Atomic and Molecular Physics, and Optics — 6 citations into it
• Computational Theory and Mathematics — 6 citations into it

Whom Lennart Bittel trusts overall

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

1. Song Yuan Yan
2. Richard H. Byrd
3. James Stokes
4. Maria Schuld
5. Josh A. Izaac
6. Nathan Killoran
7. John Preskill
8. P. Lu
9. Ville Bergholm
10. Michel X. Goemans

Who trusts Lennart Bittel overall

1. M. Cerezo
2. Martín Larocca

Papers from Lennart Bittel's perspective

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

1. A Quantum Approximate Optimization Algorithm
2. Evaluating analytic gradients on quantum hardware (Physical Review A)
3. Barren plateaus in quantum neural network training landscapes (Nature Communications)
4. Quantum Natural Gradient (Quantum)
5. Quantum Computing in the NISQ era and beyond (Quantum)
6. I and J
7. Noise-induced barren plateaus in variational quantum algorithms (Nature Communications)
8. The Complexity of the Local Hamiltonian Problem (Foundations of Software Technology and Theoretical Computer Science)
9. Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming
10. Estimating the gradient and higher-order derivatives on quantum hardware (Physical Review A)

Their papers

• Stabilizer entropies are monotones for magic-state resource theory (2024) — 141 citations
• Training Variational Quantum Algorithms Is NP-Hard. (2021) — 422 citations