Graph Neural Network Hybrid Optimisation Algorithm - ON-1192

Genre de projet: Recherche
Discipline(s) souhaitée(s): Génie - informatique / électrique, Génie, Informatique, Sciences mathématiques
Entreprise: Multiverse Computing
Durée du projet: Plus d’un an
Date souhaitée de début: Dès que possible
Langue exigée: Anglais
Emplacement(s): Toronto, ON, Canada
Nombre de postes: 1
Niveau de scolarité désiré: MaîtriseDoctoratRecherche postdoctorale
Ouvert aux candidatures de personnes inscrites à un établissement à l’extérieur du Canada: No

Au sujet de l’entreprise: 

Multiverse is a well funded deep-tech Canadian company. We are one of the few world companies working with Quantum Computing.
We provide hyper-efficient software for companies from the financial industry wanting to gain an edge with quantum computing and artificial intelligence. Our main verticals are fraud detection, credit scoring assessment, and financial optimization.
Our team of experts is world-renowned for innovative approaches to intractable financial and macro-economics problems. We work with quantum hardware and quantum inspired methods to build machine learning solutions which exceed the predictive power of the current best solutions.
We are applying to Mitacs to allow us to expand our R&D team in Canada to tackle problems of huge commercial impact and expand our expertise.

Veuillez décrire le projet.: 

Goals:
Use graph neural networks in combination with quantum annealers for solving QUBO problems.
●Understand how to map QUBO problems to graph neural networks
●Implement classical training of the graph neural network to solve the QUBO
●Identify bottlenecks in the classical algorithm and where quantum annealing can be used to solve subsets of the problem.
●Combine the classical and quantum annealing approaches. Benchmark against D’Wave hybrid solvers.

Expertise ou compétences exigées: 

Machine Learning experience
Strong Python programming skills
Knowledge of Graph Neural Networks (GNNs) and deep learning fundamentals.
Ability to analyze algorithmic bottlenecks, design experiments, and perform benchmarking.