Graph theory, optimization, and quantum algorithms

Variational Quantum Algorithms || Dr. Bilal TariqПодробнее

Studying a Quantum-Graph Problem by Logic and Combinatorial OptimizationПодробнее

Quantum Computing Course – Math and Theory for BeginnersПодробнее

Alexander Kliesch: Potential and limitations of variational quantum algorithms for optimizationПодробнее

Quantum solutions to optimization problemsПодробнее

Quantum Variational Algorithms: The Good, the Bad and the UglyПодробнее

Approximate Solutions of Combinatorial Problems via Quantum Relaxations | Qiskit Seminar SeriesПодробнее

What ensures approximation hardness for quantum algorithms? | Qiskit Seminar Series w/ Eliot KapitПодробнее

Machine Learning for Variational Quantum AlgorithmsПодробнее

Hybrid quantum-classical algorithms for approximate graph coloring - TQC 2021Подробнее

Johnnie Gray: "Hyper-optimized tensor network contraction - simplifications, applications & appr..."Подробнее

Lecture 5.2 - Introduction to the Quantum Approximate Optimization Algorithm and ApplicationsПодробнее

QIP2021 | Quantum speedups for graph sparsification, graph cut problems... (Simon Apers)Подробнее

NEASQC webinar - 24/11/2021 - Quantum optimization algorithms for mesh segmentationПодробнее

QIP2021 | The Quantum Approximate Optimization Algorithm (Leo Zhou)Подробнее

Algebraic Graph Theory: Quantum mixing through the algorithmic lensПодробнее

Quantum Algorithm for Multiobjective Optimization (IV WCQ-UFSC)Подробнее

QAOA: A Way to Estimate Graph OptimizationПодробнее

Quantum Algorithms for Optimization | Quantum ColloquiumПодробнее