Search Results for author:
Found 4 papers, 2 papers with code
Quantum-Enhanced Selection Operators for Evolutionary Algorithms
We benchmark these quantum-enhanced algorithms against classical algorithms over various black-box objective functions, including the OneMax function, and functions from the IOHProfiler library for black-box optimization.
Equivariant quantum circuits for learning on weighted graphs
When training a parametrized quantum circuit in this setting to solve a specific problem, the choice of ansatz is one of the most important factors that determines the trainability and performance of the algorithm.
Semi-supervised time series classification method for quantum computing
We accomplish this by discretizing the TS and converting the reconstruction to a set cover problem, allowing us to perform a one-versus-all method of reconstruction.
Traffic flow optimization using a quantum annealer
Quantum annealing algorithms belong to the class of meta-heuristic tools, applicable for solving binary optimization problems.
Quantum Physics Data Structures and Algorithms
