Vojtěch Havlíček
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 46 citations into it; #32,788 of 35,345 by trust here, #9,092 by citations
- Atomic and Molecular Physics, and Optics — 30 citations into it
Whom Vojtěch Havlíček trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John Preskill
- Maria Schuld
- E. Stoudenmire
- Kristan Temme
- Bernhard E. Boser
- Jay M. Gambetta
- Kosuke Mitarai
- S. Sheldon
- A. C'orcoles
- Nathan Killoran
Who trusts Vojtěch Havlíček overall
- Maria Schuld
- M. Cerezo
- Ryan Larose
- Yudong Cao
- Marcello Benedetti
- Abhinav Kandala
- Hsin-Yuan Huang
- Brian Coyle
- Jonathan Romero
- M. Krelina
Papers from Vojtěch Havlíček's perspective
Ordered by how strongly the researchers Vojtěch Havlíček trusts endorse each paper. Same corpus, a different order for every researcher.
- Quantum Machine Learning in Feature Hilbert Spaces. (Physical Review Letters)
- Quantum circuit learning (Physical Review A)
- Supervised Learning with Tensor Networks (Neural Information Processing Systems)
- Quantum machine learning (Nature)
- A training algorithm for optimal margin classifiers
- Quantum Computing in the NISQ era and beyond (Quantum)
- Procedure for systematically tuning up cross-talk in the cross-resonance gate
- A Tutorial on Support Vector Machines for Pattern Recognition
- Introduction to Quantum Control and Dynamics
- A one-measurement form of simultaneous perturbation stochastic approximation
Their papers
- Supervised learning with quantum-enhanced feature spaces (2018) — 2,729 citations
- OpenFermion: the electronic structure package for quantum computers (2017) — 596 citations