Quantum Techniques in Machine Learning (QTML) is an annual international conference that focuses on quantum machine learning, an interdisciplinary field that bridges quantum technology and machine learning. QTML 2019 will be held from October 20 to 24, 2019 at Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, South Korea. It is the 3rd conference in a series that started in Verona, Italy in 2017, and was last held in 2018 in Durban, South Africa. The conference will bring together experts from quantum computing and machine learning to discuss the latest progress in the rapidly growing field of quantum machine learning.

Example topics include, but are not limited to
Quantum algorithms for machine learning tasks
Learning with hybrid quantum-classical methods
Using machine learning to design and analyze experiments in quantum information processing
Tensor methods and (deep) learning
Data encoding into quantum systems
Quantum learning theory


Important dates
Submission deadline: June 30
Poster deadline: July 15
Decision notification: July 30
Final manuscript deadline: Aug. 30
Early registration deadline: ​​Sept. 15

The conference web page is at https://www.quantummachinelearning.org/qtml2019.html