Submission guidelines
Contributions are welcome in all research areas covering the application of quantum techniques for machine learning and optimisation tasks as well as the use of machine-learning algorithms for studying quantum systems.
Please note: At the time of the submission, authors will be asked to specify the type of submission (talk or abstract) on the EasyChair webpage. If an abstract, submitted for a talk, is not selected, it will be automatically considered for a poster presentation.
Important: It will be possible to present an accepted talk or accepted poster only if it is accompanied by the payment of at least one regular registration for one of the authors. It is not possible to deliver multiple presentations for one speaker.
Extended abstracts
Work describing original results or summarising already published works. Manuscripts must be submitted in PDF format, single column, single-space 11-point fonts, and maximum length of 3 pages (excluding references). Accepted abstracts will be presented at the conference as a long talk (25'+5' Q&A) or a short talk (12'+3' Q&A).
Posters
1-page abstract describing the work to be exhibited as a poster in PDF format, single column, singlespace 11-point fonts.
