2018.md

What papers were published in 2018 in QML?

Papers

2018

• Bergholm et al., 2018, PennyLane: Automatic differentiation of hybrid quantum-classical computations
• Cao et al., 2022, Quantum Chemistry in the Age of Quantum Computing
• Cortese & Braje, 2018, Loading Classical Data into a Quantum Computer
• Kopczyk, 2018, Quantum Machine Learning for data scientists
• Schuld & Killoran, 2018, Quantum machine learning in feature Hilbert spaces
• Zhao et al., 2018, Bayesian Deep Learning on a Quantum ComputerGitHub