The QCVML paper collection

Quantum computing (QC) is a computing paradigm that leverages the principles of quantum mechanics to perform computations. Quantum computers have the potential to solve certain problems exponentially faster than classical computers. The field of quantum computer vision and machine learning (QCVML) aims to explore the connections between quantum computing and computer vision as well as machine learning. The QCVML paper collection is a curated list of papers that have been previously published at major computer vision and machine learning conferences. The papers are relevant to the field of quantum computer vision and machine learning and have been peer-reviewed. The collection is intended to provide an overview of the state-of-the-art in the field and to serve as a resource for researchers interested in the topic.

How can you contribute?

Send in your previously peer-reviewed papers together with a summary slide using the provided template. The papers should be relevant to the field of quantum computer vision and machine learning. The submissions will be reviewed by the workshop organizers and if requirements are met be included in the QCVML paper collection. The collection will be promoted to the workshop participants and is available to the wider community.

The following works have previously been published and peer-revieweed at major computer vision and machine learning conferences.