QML-CVC

The Quantum Machine Learning Group at CVC

People

The QML-CVC group is a multi-disciplinary team comprised of physicists, computer scientists, experts in computer vision, machine learning and quantum information. Know more about every one of us by clicking above.

Research

Our research tackles the bridge between the Q (quantum information) and the ML (machine learning) fields of knowledge, from both a basic and oriented perspective. Our aim is to provide a roadmap for quantum computing in the field of computer vision.

Lattest webinar at QML-CVC

Featured

OPEN POSITONS AVAILABLE AT QML-CVC. More infor HERE

ML-QSIM: 4-year 2M€ project awarded in collaboration with CSIC’s Rydberg quantum simulator team

The QML.CVC will participate in the the project “Machine Learning for Quantum Simulations with Rydberg Atoms (ML-QSIM)”, in collaboration with SCIC institutions CINN, INMA  and ICMM. The roie of the QML-CVC group will be to develop explorative research pathways in computer vision through quantum machine learning . The grant is funded by the Spanish Ministry of Science, Innovation and Universities. During the following 4 years, this will allow for the QML-CVC group to consolidate new PHDs and POSTDOCS, while advancing QML knowledge in the context of one of the strategic infrastructures of the Spanish Quantum Agenda.

3-year Post-doc position open (Contract starting Q4-2026)

REF: 20260729_QuCV 
Postdoctoral position for 3 years, starting asap before 1st december 2026, focused on ‘Quantum Machine Learning’, with the objective of investigating hybrid classical-quantum algorithms, depending on the specific competences of the candidate . 

The tasks will include the design and implementation of explorative research pathways for general problems related to machine learning and computer vision. Specific research lines can be defined in collaboration with the supervisor, with potential avenues including generative models, optimization tasks, or other specific applications. 

Collaborating instutions

The QML-CVC group is collaborating with a number of groups of different institutions:

Funded Projects

QuCV

Explanatory pathways for application in computer vision in quantum machine learning

QML-CV

Quantum Machine Learning for Computer Vision

PRISMA (subcontractor)

Quantum inspired methods for Intelligent perception and response for driving safety through adaptive monitoring.

SUKIDI

Semantic intepretation and knowledge integration for document intelligence

Cátedra ENIA UAB-Cruïlla

Chair on Research and Artificial Intelligence in the field of Music/Arts

AI4Creativity

Artificial Intelligence for Creativity (FECyT)

Neuro AI

The integration of AI and Neuroscience in Health and Cognition


The group has participated in the the previous projects:

European Performing Science Program (EPSP)

European Researchers’ Night and Researchers at Schools 2024-2025

EthicsAI

The value of intersections: Ethics, AI, Art and Society (FECyT)

COMMUNICITY

Empowering European Citizens for Innvoation

SDGR DocAI

ESGR Grant for support to Research Groups

GRAIL

Graph Reasoning for Automatic Interpretation and Learning