M. Brink

Artificial Intelligence · Nature · 2002–2020

A researcher in the Science corpus: 6 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 77 citations into it
• Atomic and Molecular Physics, and Optics — 73 citations into it

Whom M. Brink trusts overall

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

1. Jay M. Gambetta
2. Jerry M. Chow
3. Michel H. Devoret

Who trusts M. Brink overall

1. Peter J. Burke

Papers from M. Brink's perspective

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

1. I and J
2. Scalable and robust randomized benchmarking of quantum processes. (Physical Review Letters)
3. Universal Gate for Fixed-Frequency Qubits via a Tunable Bus
4. Superconducting quantum circuits at the surface code threshold for fault tolerance (Nature)
5. Procedure for systematically tuning up cross-talk in the cross-resonance gate
6. Simple pulses for elimination of leakage in weakly nonlinear qubits. (Physical Review Letters)
7. Progress towards practical quantum variational algorithms
8. Randomized Benchmarking of Quantum Gates
9. Building logical qubits in a superconducting quantum computing system
10. First-order sideband transitions with flux-driven asymmetric transmon qubits

Their papers

• High-κ dielectrics for advanced carbon-nanotube transistors and logic gates (2002) — 890 citations
• Tuning carbon nanotube band gaps with strain. (2002) — 595 citations
• Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets (2017) — 3,380 citations
• Demonstration of quantum volume 64 on a superconducting quantum computing system (2020) — 501 citations
• Laser-annealing Josephson junctions for yielding scaled-up superconducting quantum processors (2020) — 216 citations
• Tunable Superconducting Qubits with Flux-Independent Coherence (2017) — 163 citations