Max Werninghaus
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 Max Werninghaus trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jay M. Gambetta
- Christopher J. Wood
- John A. Nelder
- Easwar Magesan
- Navin Khaneja
- David C. McKay
- R. Heeres
- Jens Koch
- Michel H. Devoret
- Göran Wendin
Papers from Max Werninghaus's perspective
Ordered by how strongly the researchers Max Werninghaus trusts endorse each paper. Same corpus, a different order for every researcher.
- Simple pulses for elimination of leakage in weakly nonlinear qubits. (Physical Review Letters)
- Scalable and robust randomized benchmarking of quantum processes. (Physical Review Letters)
- Universal Gate for Fixed-Frequency Qubits via a Tunable Bus
- Quantification and characterization of leakage errors
- Implementing a universal gate set on a logical qubit encoded in an oscillator (Nature Communications)
- Charge-insensitive qubit design derived from the Cooper pair box
- Interacting two-level defects as sources of fluctuating high-frequency noise in superconducting circuits
- A quantum engineer's guide to superconducting qubits (Applied Physics Reviews)
- Optimal control of coupled spin dynamics: design of NMR pulse sequences by gradient ascent algorithms. (Journal of magnetic resonance (San Diego, Calif. 1997 : Print))
- Progress towards practical quantum variational algorithms
Their papers
- Leakage reduction in fast superconducting qubit gates via optimal control (2020) — 197 citations