Jonathan Romero

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 8 papers; trusts 28 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 263 citations into it; #6,066 of 35,345 by trust here, #2,892 by citations
• Atomic and Molecular Physics, and Optics — 210 citations into it; #488 of 7,135 by trust here, #472 by citations
• Computational Theory and Mathematics — 74 citations into it
• Electrical and Electronic Engineering — 18 citations into it
• Materials Chemistry — 17 citations into it
• Molecular Biology — 17 citations into it
• Spectroscopy — 10 citations into it
• Organic Chemistry — 6 citations into it

Whom Jonathan Romero trusts overall

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

1. Yazhen Wang
2. Ryan Babbush
3. Jarrod R. McClean
4. Radford M. Neal
5. Maria Schuld
6. A. Aspuru‐Guzik
7. John Preskill
8. Ovidiu Ivanciuc
9. Yang Zhang
10. Kristan Temme

Who trusts Jonathan Romero overall

1. Ryan Babbush
2. M. Cerezo
3. Jarrod R. McClean
4. Harper R. Grimsley
5. Oscar Higgott
6. Maria Schuld
7. Nathan Killoran
8. Yudong Cao
9. Suguru Endo
10. Simon C. Benjamin

Papers from Jonathan Romero's perspective

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

1. Quantum Computation and Quantum Information
2. Quantum Computation by Adiabatic Evolution
3. OpenFermion: the electronic structure package for quantum computers (Quantum Science and Technology)
4. Quantum Computation and Quantum Information: Bibliography
5. The Bravyi-Kitaev transformation for quantum computation of electronic structure. (Journal of Chemical Physics)
6. I and J
7. Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
8. Supervised learning with quantum-enhanced feature spaces (Nature)
9. Characterizing quantum supremacy in near-term devices (Nature Physics)
10. Low-Depth Quantum Simulation of Materials

Their papers

• Quantum Chemistry Calculations on a Trapped-Ion Quantum Simulator (2018) — 547 citations
• Scalable Quantum Simulation of Molecular Energies (2015) — 1,013 citations
• Quantum Chemistry in the Age of Quantum Computing. (2018) — 1,725 citations
• Potential of quantum computing for drug discovery (2018) — 311 citations
• Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz (2017) — 768 citations
• OpenFermion: the electronic structure package for quantum computers (2017) — 596 citations
• Quantum autoencoders for efficient compression of quantum data (2016) — 621 citations
• The theory of variational hybrid quantum-classical algorithms (2015) — 2,424 citations