Shai Machnes

Artificial Intelligence · 2020

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

Subfields

• Artificial Intelligence — 20 citations into it
• Atomic and Molecular Physics, and Optics — 16 citations into it

Whom Shai Machnes trusts

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

1. Jay M. Gambetta (in Artificial Intelligence)

Papers from Shai Machnes's perspective

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

1. Simple pulses for elimination of leakage in weakly nonlinear qubits. (Physical Review Letters)
2. Scalable and robust randomized benchmarking of quantum processes. (Physical Review Letters)
3. Universal Gate for Fixed-Frequency Qubits via a Tunable Bus
4. Quantification and characterization of leakage errors
5. Implementing a universal gate set on a logical qubit encoded in an oscillator (Nature Communications)
6. Charge-insensitive qubit design derived from the Cooper pair box
7. Interacting two-level defects as sources of fluctuating high-frequency noise in superconducting circuits
8. A quantum engineer's guide to superconducting qubits (Applied Physics Reviews)
9. Characterizing Quantum Gates via Randomized Benchmarking
10. Progress towards practical quantum variational algorithms

Their papers

• Leakage reduction in fast superconducting qubit gates via optimal control (2020) — 197 citations