Quantum Machine Learning (QML) is an emerging field of research, with fast growth. This research field is largely driven by the desire to develop artificial intelligence that uses quantum technologies to improve the speed and performance of learning algorithms. Strong interdisciplinary collaborations are needed to face the challenges of integrating quantum computation and machine learning and to gain better knowledge in this area. The goal of this workshop is to gather researchers in quantum computing and machine learning together, to discuss achievements, challenges and visions in this field.
The workshop program will be a combination of "hot topic" presentations by world-renowned experts in the field, original and recently published papers and a panel discussion with participants. The program will also include an introductory tutorial to QML for a machine learning audience. This will allow workshop participants to obtain a global perspective of the scope of this area and of the technical challenges associated with it, in a participative and interactive manner.
* Times below are UTC+2
|9:00 - 9:10 am||Opening remarks|
|9:10 - 9:50 am||Keynote 1 by Francesco Petruccione|
|9:50 - 10:30 am||Keynote 2 by Ronald de Wolf|
|10:30 - 11:30 am||Poster session* and coffe break|
|11:30 - 12:10 am||Keynote 3 by Bob Coecke|
|12:10 - 12:50 am||Keynote 4 by
|12:50 - 13:00 am||Closing remarks|
* Accepted posters:
* Listed alphabetically
The workshop will welcome submissions in the following formats:
We invite submissions on topics including but not limited to the following:
Submission Website: Submissions is via EasyChair.
University of KwaZulu-Natal