QMLW 2016 - Quantum Machine Learning Workshop

The goal of the newly emerging discipline of quantum machine learning is to apply quantum information processing to pattern recognition tasks such as classification, regression and clustering. The underlying question whether quantum computation can help to efficiently solve hard machine learning problems attracts growing amounts of interest and opens up new perspectives onto how computers can learn from data.
The South African Quantum Machine Learning Meetings provide a platform to discuss, share, and present ideas in the emerging field of quantum machine learning. Set in the stunning South African landscape, both the 2016 Workshop and the 2017 Summer School aim at creating an intimate and productive atmosphere to explore potential and challenges of combining quantum information with data science. A further goal of the Quantum Machine Learning Meetings is to lay the foundation for a joint monograph on Quantum Machine Learning to which all participants are encouraged to contribute.
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Registration is now open! For more information and contact details, please visit www.quantummachinelearning.org.