Martin Kliesch

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 2 papers; trusts 12 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 — 12 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Martin Kliesch trusts overall

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

1. M. B. Hastings
2. Song Yuan Yan
3. Bruno Nachtergaele
4. Richard H. Byrd
5. James Stokes
6. Maria Schuld
7. T. Koma
8. Thomas Vojta
9. Josh A. Izaac
10. Marcos Rigol

Papers from Martin Kliesch's perspective

Ordered by how strongly the researchers Martin Kliesch 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. Solving gapped Hamiltonians locally
5. Quantum Natural Gradient (Quantum)
6. Quantum Computing in the NISQ era and beyond (Quantum)
7. I and J
8. Topological quantum order: Stability under local perturbations
9. The Complexity of the Local Hamiltonian Problem (Foundations of Software Technology and Theoretical Computer Science)
10. Noise-induced barren plateaus in variational quantum algorithms (Nature Communications)

Their papers

• Training Variational Quantum Algorithms Is NP-Hard. (2021) — 422 citations
• Locality of temperature (2013) — 180 citations