Abstract: Iterative gradient-based optimization algorithms are widely used to solve difficult or large-scale optimization problems. There are many algorithms to choose from, such as gradient descent ...

Abstract: Large-scale network shortest route searching needs unique big data computing methodologies. This study proposes a novel usage of the Hopcroft-Karp technique for bipartite matching to ...

In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...