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
  • Tensor methods and (deep) learning
  • Data encoding and processing in quantum systems
  • Quantum learning theory
  • Fuzzy logic for quantum machine learning
  • Machine learning to design and analyze experiments in quantum information processing
Conference photos can be downloaded from here.
QTML Satellite Workshop
-Korea Quantum Boot Camp, IBM Q, October 25, 2019, KAIST
The QTML 2019 conference will be followed by a satellite workshop, Korea Quantum Boot Camp, IBMQ from 9:00 to 15:30 on Friday October 25 at KAIST.

Please visit Satellite Workshop for more details and registration information.
Sponsors
QTML 2019 is hosted by IEIE, and organized by KAIST QCAI
Special Note
Search mission for Peter Wittek and support family: https://www.gofundme.com/f/find-peter-wittek
Important dates
  • Submission deadline: Aug. 1
  • Poster deadline: Aug. 1
  • Decision notification: Aug. 20
  • ​Early registration deadline: ​​Extended to Oct. 10
    (All dates 2019, 23:59 AoE)
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